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ORCIDSeungjin Choi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j66]Tong Min Kim
, Junhyeok Son, Ji-Won Chun, Youngrong Lee, Dai-Jin Kim, In-Young Choi, Taehoon Ko, Seungjin Choi:
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages. Comput. Biol. Medicine 180: 108950 (2024)- 2023
- [j65]Jungtaek Kim, Seungjin Choi:
BayesO: A Bayesian optimization framework in Python. J. Open Source Softw. 8(90): 5320 (2023) - 2022
- [j64]Yoonho Lee, Wonjae Kim, Wonpyo Park, Seungjin Choi:
Discrete Infomax Codes for Supervised Representation Learning. Entropy 24(4): 501 (2022) - [c150]Jungtaek Kim, Seungjin Choi:
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. AISTATS 2022: 4359-4375 - [c149]Seungjin Choi, Dohun Kim, Sanghyun Park, Joonki Paik:
Point Cloud-Based Lane Detection for Optimal Local Path Planning. ICEIC 2022: 1-4 - [c148]Jungtaek Kim, Seungjin Choi, Minsu Cho:
Combinatorial Bayesian optimization with random mapping functions to convex polytopes. UAI 2022: 1001-1011 - [i19]Jungtaek Kim, Seungjin Choi:
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. CoRR abs/2202.10669 (2022) - 2021
- [j63]Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi:
Bayesian optimization with approximate set kernels. Mach. Learn. 110(5): 857-879 (2021) - [c147]Seungjin Choi:
Meta-learning: Towards Fast Adaptation in Multi-Subject EEG Classification. BCI 2021: 1 - 2020
- [j62]Fengkai Ke, Seungjin Choi, Young Ho Kang, Keun-Ah Cheon, Sang Wan Lee:
Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. IEEE Access 8: 153341-153352 (2020) - [c146]Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. ICPR 2020: 4083-4090 - [c145]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c144]Jungtaek Kim, Seungjin Choi:
On Local Optimizers of Acquisition Functions in Bayesian Optimization. ECML/PKDD (2) 2020: 675-690 - [i18]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i17]Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. CoRR abs/2009.02909 (2020) - [i16]Jungtaek Kim, Minsu Cho, Seungjin Choi:
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. CoRR abs/2011.13094 (2020)
2010 – 2019
- 2019
- [j61]Seungjin Choi, Seong-Joon Shim, Young-Hwan You, Jaesang Cha, Hyoung-Kyu Song:
Novel MIMO Detection With Improved Complexity for Near-ML Detection in MIMO-OFDM Systems. IEEE Access 7: 60389-60398 (2019) - [j60]Jiwan Seo, Karam Yoo, Seungjin Choi, Yura Alex Kim, Sangyong Han:
The latent learning model to derive semantic relations of words from unstructured text data in social media. Multim. Tools Appl. 78(20): 28649-28663 (2019) - [c143]Youngnam Kim, Seungjin Choi:
Forward-Backward Generative Adversarial Networks for Anomaly Detection. ACML 2019: 1142-1155 - [c142]Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron:
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. AISTATS 2019: 758-767 - [c141]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML 2019: 3744-3753 - [i15]Jungtaek Kim, Seungjin Choi:
On Local Optimizers of Acquisition Functions in Bayesian Optimization. CoRR abs/1901.08350 (2019) - [i14]Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi:
MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR abs/1904.05658 (2019) - [i13]Jungtaek Kim, Seungjin Choi:
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization. CoRR abs/1905.07540 (2019) - [i12]Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi:
Bayesian Optimization over Sets. CoRR abs/1905.09780 (2019) - [i11]Yoonho Lee, Wonjae Kim, Seungjin Choi:
Discrete Infomax Codes for Meta-Learning. CoRR abs/1905.11656 (2019) - 2018
- [j59]Jong-Kwang Kim, Seungjin Choi, Young-Hwan You, Hyoung-Kyu Song:
Selectively Iterative Detection Scheme Based on the Residual Power in MIMO-OFDM. IEICE Trans. Commun. 101-B(12): 2445-2452 (2018) - [j58]Jiwan Seo, Seungjin Choi, Yura Alex Kim, Karam Yoo, Sangyong Han:
Word embedding-based relation modeling in a heterogeneous information network. Multim. Tools Appl. 77(14): 18529-18543 (2018) - [j57]Saehoon Kim, Seungjin Choi:
Sparse Circulant Binary Embedding: An Asymptotic Analysis. IEEE Signal Process. Lett. 25(3): 432-436 (2018) - [c140]Saehoon Kim, Jungtaek Kim, Seungjin Choi:
On the Optimal Bit Complexity of Circulant Binary Embedding. AAAI 2018: 3423-3430 - [c139]Jungtaek Kim, Seungjin Choi:
Clustering-Guided Gp-Ucb for Bayesian Optimization. ICASSP 2018: 2461-2465 - [c138]Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi:
Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks. ICASSP 2018: 2686-2690 - [c137]Yoonho Lee, Seungjin Choi:
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace. ICML 2018: 2933-2942 - [i10]Yoonho Lee, Seungjin Choi:
Meta-Learning with Adaptive Layerwise Metric and Subspace. CoRR abs/1801.05558 (2018) - [i9]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer. CoRR abs/1810.00825 (2018) - [i8]Juho Lee, Lancelot F. James, Seungjin Choi, François Caron:
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. CoRR abs/1810.01778 (2018) - 2017
- [j56]Seungjin Choi, Jiwan Seo, Mucheol Kim, Sunghyun Kang, Sangyong Han:
Chrological Big data Curation: A Study on the Enhanced Information Retrieval System. IEEE Access 5: 11269-11277 (2017) - [j55]Jong-Kwang Kim, Seungjin Choi, Jae-Hyun Ro, Hyoung-Kyu Song:
Adaptive K-Best BFTS Signal Detection Algorithm Based on the Channel Condition for MIMO-OFDM Signal Detector. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(10): 2207-2211 (2017) - [j54]Seungjin Choi, Jong-Kwang Kim, Hyoung-Kyu Song:
Lattice-Reduction Aided Signal Detection Method with Switching Detection Based on Channel Condition. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2539-2542 (2017) - [c136]Saehoon Kim, Seungjin Choi:
Binary Embedding with Additive Homogeneous Kernels. AAAI 2017: 2094-2100 - [c135]Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi:
Bayesian inference on random simple graphs with power law degree distributions. ICML 2017: 2004-2013 - [i7]Jungtaek Kim, Saehoon Kim, Seungjin Choi:
Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. CoRR abs/1710.06219 (2017) - 2016
- [j53]Jiwan Seo, Seungjin Choi, Mucheol Kim, Sangyong Han:
A robust ensemble-based trust and reputation system against different types of intruder attacks. Int. J. Comput. Math. 93(2): 308-324 (2016) - [j52]Seung-won Hwang, Saehoon Kim, Yuxiong He, Sameh Elnikety, Seungjin Choi:
Prediction and Predictability for Search Query Acceleration. ACM Trans. Web 10(3): 19:1-19:28 (2016) - [c134]Bonkon Koo, Hanh Vu, Hwan-Gon Lee, Hyung-Cheul Shin, Seungjin Choi:
Motor imagery detection with wavelet analysis for NIRS-based BCI. BCI 2016: 1-4 - [c133]Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi:
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CVPR 2016: 5318-5326 - [c132]Suwon Suh, Seungjin Choi:
Two-dimensional correlated topic models. ICASSP 2016: 2559-2563 - [c131]Sojeong Ha, Seungjin Choi:
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors. IJCNN 2016: 381-388 - [c130]Suwon Suh, Daniel H. Chae, Hyon-Goo Kang, Seungjin Choi:
Echo-state conditional variational autoencoder for anomaly detection. IJCNN 2016: 1015-1022 - [c129]Juho Lee, Lancelot F. James, Seungjin Choi:
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models. NIPS 2016: 3162-3170 - [c128]Hanh Vu, Bonkon Koo, Seungjin Choi:
Frequency detection for SSVEP-based BCI using deep canonical correlation analysis. SMC 2016: 1983-1987 - [i6]Suwon Suh, Seungjin Choi:
Gaussian Copula Variational Autoencoders for Mixed Data. CoRR abs/1604.04960 (2016) - 2015
- [j51]Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi:
Regularized discriminant embedding for visual descriptor learning. Neurocomputing 149: 1048-1057 (2015) - [j50]Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl:
Subspace clustering of data streams: new algorithms and effective evaluation measures. J. Intell. Inf. Syst. 45(3): 319-335 (2015) - [c127]Juho Lee, Seungjin Choi:
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. AISTATS 2015 - [c126]Seungjin Choi:
Multi-subject EEG classification: Bayesian nonparametrics and multi-task learning. BCI 2015: 1 - [c125]Bonkon Koo, Seungjin Choi:
SSVEP response on Oculus Rift. BCI 2015: 1-4 - [c124]Saehoon Kim, Seungjin Choi:
Bilinear random projections for locality-sensitive binary codes. CVPR 2015: 1338-1346 - [c123]Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Seungjin Choi:
Immersive BCI with SSVEP in VR head-mounted display. EMBC 2015: 1103-1106 - [c122]Juho Lee, Seungjin Choi:
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. NIPS 2015: 1891-1899 - [c121]Huong Thi Pham, Seungjin Choi:
Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation. SMC 2015: 1924-1929 - [c120]Sojeong Ha, Jeong-Min Yun, Seungjin Choi:
Multi-modal Convolutional Neural Networks for Activity Recognition. SMC 2015: 3017-3022 - [c119]Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi:
Near Duplicate Image Discovery on One Billion Images. WACV 2015: 943-950 - [c118]Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi:
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. WSDM 2015: 7-16 - [r4]Seungjin Choi:
Independent Component Analysis. Encyclopedia of Biometrics 2015: 917-924 - [r3]Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi:
Supervised Learning. Encyclopedia of Biometrics 2015: 1498-1504 - [i5]Juho Lee, Seungjin Choi:
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. CoRR abs/1501.07430 (2015) - [i4]Saehoon Kim, Seungjin Choi:
Bilinear Random Projections for Locality-Sensitive Binary Codes. CoRR abs/1506.01092 (2015) - [i3]Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi:
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CoRR abs/1506.02565 (2015) - [i2]Juho Lee, Seungjin Choi:
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. CoRR abs/1511.05650 (2015) - 2014
- [j49]Yongsoo Kim, Seungmin Han, Seungjin Choi, Daehee Hwang:
Inference of dynamic networks using time-course data. Briefings Bioinform. 15(2): 212-228 (2014) - [j48]Yongsoo Kim, Jin-Hyeok Jang, Seungjin Choi, Daehee Hwang:
TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information. Bioinform. 30(17): 453-460 (2014) - [j47]Hyohyeong Kang, Seungjin Choi:
Bayesian common spatial patterns for multi-subject EEG classification. Neural Networks 57: 39-50 (2014) - [j46]Kye-Hyeon Kim, Seungjin Choi:
Label propagation through minimax paths for scalable semi-supervised learning. Pattern Recognit. Lett. 45: 17-25 (2014) - [j45]Yunjun Nam, Bonkon Koo, Andrzej Cichocki, Seungjin Choi:
GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control. IEEE Trans. Biomed. Eng. 61(2): 453-462 (2014) - [c117]Yong-Deok Kim, Seungjin Choi:
Scalable Variational Bayesian Matrix Factorization with Side Information. AISTATS 2014: 493-502 - [c116]Juho Lee, Seungjin Choi:
Incremental Tree-Based Inference with Dependent Normalized Random Measures. AISTATS 2014: 558-566 - [c115]Seungjin Choi:
POSTECH BCIs with machine learning. BCI 2014: 1 - [c114]Bonkon Koo, Yunjun Nam, Seungjin Choi:
A hybrid EOG-P300 BCI with dual monitors. BCI 2014: 1-4 - [c113]Yunjun Nam, Bonkon Koo, Seungjin Choi:
Spatial patterns of SSSEP under the selective attention to tactile stimuli in each hand. BCI 2014: 1-4 - [c112]Thu Hoai Tran, Seungjin Choi:
Supervised multi-modal topic model for image annotation. ICASSP 2014: 5979-5983 - [c111]Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi:
Semi-supervised Learning on Bi-relational Graph for Image Annotation. ICPR 2014: 2465-2470 - [c110]Eunsil Gim, Sojeong Ha, Seungjin Choi:
Dependent stotchastic blockmodels. IJCNN 2014: 2965-2972 - [c109]Yoonseop Kang, Taewoong Jang, Seungjin Choi:
Learning features with structure-adapting multi-view exponential family harmoniums. IJCNN 2014: 2978-2985 - [c108]Yong-Deok Kim, Seungjin Choi:
Bayesian binomial mixture model for collaborative prediction with non-random missing data. RecSys 2014: 201-208 - [c107]Sunho Park, TaeHyun Hwang, Seungjin Choi:
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. SDM 2014: 280-288 - [c106]Yunjun Nam, Bonkon Koo, Seungjin Choi:
Language-related glossokinetic potentials on scalp. SMC 2014: 1063-1067 - [i1]Sunho Park, TaeHyun Hwang, Seungjin Choi:
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. CoRR abs/1401.4143 (2014) - 2013
- [j44]Jiwan Seo, Seungjin Choi, Mucheol Kim, Sangyong Han:
The Method of Personalized Recommendation with Ensemble Combination. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 4(4): 108-121 (2013) - [j43]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Parameter Learning for Alpha Integration. Neural Comput. 25(6): 1585-1604 (2013) - [j42]Sunho Park, Seungjin Choi:
Max-margin embedding for multi-label learning. Pattern Recognit. Lett. 34(3): 292-298 (2013) - [j41]Yong-Deok Kim, Seungjin Choi:
Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization. IEEE Signal Process. Lett. 20(3): 261-264 (2013) - [c105]Kye-Hyeon Kim, Seungjin Choi:
Walking on Minimax Paths for k-NN Search. AAAI 2013: 518-525 - [c104]Hyohyeong Kang, Seungjin Choi:
Bayesian common spatial patterns. BCI 2013: 3 - [c103]Yunjun Nam, Andrzej Cichocki, Seungjin Choi:
Common spatial patterns for steady-state somatosensory evoked potentials. EMBC 2013: 2255-2258 - [c102]Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, Seungjin Choi:
Robust part-based face matching with multiple templates. FG 2013: 1-7 - [c101]Saehoon Kim, Seungjin Choi:
Multi-view anchor graph hashing. ICASSP 2013: 3123-3127 - [c100]Sunho Park, Seungjin Choi:
Online multi-label learning with accelerated nonsmooth stochastic gradient descent. ICASSP 2013: 3322-3326 - [c99]Hyohyeong Kang, Seungjin Choi:
Bayesian multi-subject common spatial patterns with Indian Buffet process priors. ICASSP 2013: 3347-3351 - [c98]Hyojung Shin, Seungjin Choi:
Brand-Centric Recommendation with Inter-brand Similarities. ICONIP (2) 2013: 108-115 - [c97]Yoonseop Kang, Kang-Tae Lee, Jihyun Eun, Sung Eun Park, Seungjin Choi:
Stacked Denoising Autoencoders for Face Pose Normalization. ICONIP (3) 2013: 241-248 - [c96]Jiwan Seo, Seungjin Choi, Sangyong Han:
The Method of Trust and Reputation Systems Based on Link Prediction and Clustering. IFIPTM 2013: 223-230 - [c95]Sunho Park, Yong-Deok Kim, Seungjin Choi:
Hierarchical Bayesian Matrix Factorization with Side Information. IJCAI 2013: 1593-1599 - [c94]Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl:
Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops 2013: 342-353 - [c93]Yoonseop Kang, Seungjin Choi:
Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums. ICLR (Workshop Poster) 2013 - [c92]Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi:
Regularized Discriminant Embedding for Visual Descriptor Learning. ICLR (Workshop Poster) 2013 - 2012
- [j40]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Eng. 59(1): 290-299 (2012) - [c91]Hyohyeong Kang, Seungjin Choi:
Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes. AAAI 2012: 970-976 - [c90]Saehoon Kim, Yoonseop Kang, Seungjin Choi:
Sequential Spectral Learning to Hash with Multiple Representations. ECCV (5) 2012: 538-551 - [c89]Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi:
Online Video Segmentation by Bayesian Split-Merge Clustering. ECCV (4) 2012: 856-869 - [c88]Hyohyeong Kang, Seungjin Choi:
Bayesian common spatial patterns with Pitman-Yor process priors. EUSIPCO 2012: 684-688 - [c87]Jiho Yoo, Seungjin Choi:
Hierarchical variational Bayesian matrix co-factorization. ICASSP 2012: 1901-1904 - [c86]Yoonseop Kang, Saehoon Kim, Seungjin Choi:
Deep Learning to Hash with Multiple Representations. ICDM 2012: 930-935 - [c85]Jeong-Min Yun, Saehoon Kim, Seungjin Choi:
Hashing with Generalized Nyström Approximation. ICDM 2012: 1188-1193 - [c84]Hyohyeong Kang, Seungjin Choi:
Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification. IJCNN 2012: 1-6 - [c83]Sangmin Lee, Yunjun Nam, Seungjin Choi:
Self-labeling for P300 detection. SMC 2012: 268-273 - [p1]Seungjin Choi:
Independent Component Analysis. Handbook of Natural Computing 2012: 435-459 - 2011
- [j39]Yongsoo Kim, Taek-Kyun Kim, Yungu Kim, Jiho Yoo, Sungyong You, Inyoul Y. Lee, George Carlson, Leroy Hood, Seungjin Choi, Daehee Hwang:
Principal network analysis: identification of subnetworks representing major dynamics using gene expression data. Bioinform. 27(3): 391-398 (2011) - [j38]Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi:
Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation. IEEE J. Sel. Top. Signal Process. 5(6): 1192-1204 (2011) - [j37]Shounan An, Jiho Yoo, Seungjin Choi:
Manifold-respecting discriminant nonnegative matrix factorization. Pattern Recognit. Lett. 32(6): 832-837 (2011) - [j36]Jong Kyoung Kim, Seungjin Choi:
Probabilistic Models for Semisupervised Discriminative Motif Discovery in DNA Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1309-1317 (2011) - [c82]Shounan An, Jeong-Min Yun, Seungjin Choi:
Multiple kernel nonnegative matrix factorization. ICASSP 2011: 1976-1979 - [c81]Sunho Park, Seungjin Choi:
Geometric programming for aggregation of binary classifiers. ICASSP 2011: 2000-2003 - [c80]Saehoon Kim, Seungjin Choi:
Semi-supervised Discriminant Hashing. ICDM 2011: 1122-1127 - [c79]Jeong-Min Yun, Seungjin Choi:
Nyström Approximations for Scalable Face Recognition: A Comparative Study. ICONIP (2) 2011: 325-334 - [c78]Jiho Yoo, Seungjin Choi:
Matrix Co-Factorization on Compressed Sensing. IJCAI 2011: 1595-1602 - [c77]Jeong-Min Yun, Seungjin Choi:
Patch-based Markov random fields for fast face occlusion recovery. MLSP 2011: 1-6 - [c76]Yoonseop Kang, Seungjin Choi:
Restricted Deep Belief Networks for Multi-view Learning. ECML/PKDD (2) 2011: 130-145 - [c75]Jiho Yoo, Seungjin Choi:
Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound. ECML/PKDD (3) 2011: 537-552 - [c74]Hyohyeong Kang, Seungjin Choi:
Bayesian Multi-task Learning for Common Spatial Patterns. PRNI 2011: 61-64 - 2010
- [j35]Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. Aust. J. Intell. Inf. Process. Syst. 11(3) (2010) - [j34]Jiho Yoo, Seungjin Choi:
Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds. Inf. Process. Manag. 46(5): 559-570 (2010) - [j33]Jiho Yoo, Seungjin Choi:
Nonnegative Matrix Factorization with Orthogonality Constraints. J. Comput. Sci. Eng. 4(2): 97-109 (2010) - [j32]Hyekyoung Lee, Jiho Yoo, Seungjin Choi:
Semi-Supervised Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 17(1): 4-7 (2010) - [c73]Jiho Yoo, Minje Kim, Kyeongok Kang, Seungjin Choi:
Nonnegative matrix partial co-factorization for drum source separation. ICASSP 2010: 1942-1945 - [c72]Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi:
Blind rhythmic source separation: Nonnegativity and repeatability. ICASSP 2010: 2006-2009 - [c71]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe:
Learning alpha-integration with partially-labeled data. ICASSP 2010: 2058-2061 - [c70]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe:
Alpha-integration of multiple evidence. ICASSP 2010: 2210-2213 - [c69]Sunho Park, Seungjin Choi:
Bayesian Aggregation of Binary Classifiers. ICDM 2010: 393-402 - [c68]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) 2010: 34-41 - [c67]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe:
Manifold Alpha-Integration. PRICAI 2010: 397-408 - [c66]Sunho Park, Seungjin Choi:
Hierarchical Gaussian Process Regression. ACML 2010: 95-110
2000 – 2009
- 2009
- [j31]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Kernel nonnegative matrix factorization for spectral EEG feature extraction. Neurocomputing 72(13-15): 3182-3190 (2009) - [j30]Jong Kyoung Kim, Seungjin Choi:
Clustering with r-regular graphs. Pattern Recognit. 42(9): 2020-2028 (2009) - [j29]Seunghak Lee, Seungjin Choi:
Landmark MDS ensemble. Pattern Recognit. 42(9): 2045-2053 (2009) - [j28]Hyohyeong Kang, Yunjun Nam, Seungjin Choi:
Composite Common Spatial Pattern for Subject-to-Subject Transfer. IEEE Signal Process. Lett. 16(8): 683-686 (2009) - [j27]Sangki Kim, Gunhyuk Park, Sunghoon Yim, Seungmoon Choi, Seungjin Choi:
Gesture-recognizing hand-held interface with vibrotactile feedback for 3D interaction. IEEE Trans. Consumer Electron. 55(3): 1169-1177 (2009) - [c65]Jiho Yoo, Seungjin Choi:
Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. ACML 2009: 396-411 - [c64]Yong-Deok Kim, Seungjin Choi:
Weighted nonnegative matrix factorization. ICASSP 2009: 1541-1544 - [c63]Jiho Yoo, Seungjin Choi:
Probabilistic matrix tri-factorization. ICASSP 2009: 1553-1556 - [c62]Seunghak Lee, Seungjin Choi:
Ensembles of landmark multidimensional scalings. ICASSP 2009: 1649-1652 - [c61]Sunho Park, Jiho Yoo, Seungjin Choi:
Target speech extractionwith learned spectral bases. ICASSP 2009: 1789-1792 - [c60]Yoonseop Kang, Seungjin Choi:
Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection. ICONIP (1) 2009: 175-184 - [c59]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe:
Probabilistic Combination of Multiple Evidence. ICONIP (1) 2009: 302-311 - [c58]Jong Kyoung Kim, Seungjin Choi:
Clustering sequence sets for motif discovery. NIPS 2009: 970-978 - [c57]Kye-Hyeon Kim, Seungjin Choi:
Incremental learning to rank with partially-labeled data. WSCD@WSDM 2009: 20-27 - [c56]Hyekyoung Lee, Seungjin Choi:
Group Nonnegative Matrix Factorization for EEG Classification. AISTATS 2009: 320-327 - [r2]Seungjin Choi:
Independent Component Analysis. Encyclopedia of Biometrics 2009: 735-741 - [r1]Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi:
Supervised Learning. Encyclopedia of Biometrics 2009: 1298-1303 - 2008
- [j26]Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li:
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer 41(10): 34-42 (2008) - [j25]Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi:
Independent arrays or independent time courses for gene expression time series data analysis. Neurocomputing 71(10-12): 2377-2387 (2008) - [j24]Sunho Park, Seungjin Choi:
A constrained sequential EM algorithm for speech enhancement. Neural Networks 21(9): 1401-1409 (2008) - [j23]Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi:
Non-negative matrix factorization with alpha-divergence. Pattern Recognit. Lett. 29(9): 1433-1440 (2008) - [c55]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Manifold Integration with Markov Random Walks. AAAI 2008: 424-429 - [c54]Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tucker decomposition with alpha-divergence. ICASSP 2008: 1829-1832 - [c53]Sunho Park, Seungjin Choi:
Gaussian processes for source separation. ICASSP 2008: 1909-1912 - [c52]Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe:
Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR 2008: 1-4 - [c51]Jiho Yoo, Seungjin Choi:
Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds. IDEAL 2008: 140-147 - [c50]Hyekyoung Lee, Seungjin Choi:
CUR+NMF for learning spectral features from large data matrix. IJCNN 2008: 1592-1597 - [c49]Seungjin Choi:
Algorithms for orthogonal nonnegative matrix factorization. IJCNN 2008: 1828-1832 - [c48]Sunho Park, Seungjin Choi:
Gaussian process regression for voice activity detection and speech enhancement. IJCNN 2008: 2879-2882 - 2007
- [j22]Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tensor Factorization for Continuous EEG Classification. Int. J. Neural Syst. 17(4): 305-317 (2007) - [j21]Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi:
Learning principal directions: Integrated-squared-error minimization. Neurocomputing 70(7-9): 1372-1381 (2007) - [j20]Heeyoul Choi, Seungjin Choi:
A relative trust-region algorithm for independent component analysis. Neurocomputing 70(7-9): 1502-1510 (2007) - [j19]Heeyoul Choi, Seungjin Choi:
Robust kernel Isomap. Pattern Recognit. 40(3): 853-862 (2007) - [j18]Sun Ho Lee, Seungjin Choi:
Two-Dimensional Canonical Correlation Analysis. IEEE Signal Process. Lett. 14(10): 735-738 (2007) - [j17]Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Won Jun Kang, Jong Jin Lee, Seungjin Choi:
A Clinical Application of Ensemble ICA to the Quantification of Myocardial Blood Flow in Dynamic H152 O H^{{15}}_{2} O PET. J. VLSI Signal Process. 49(2): 233-241 (2007) - [c47]Yong-Deok Kim, Seungjin Choi:
Nonnegative Tucker Decomposition. CVPR 2007 - [c46]Sunho Park, Seungjin Choi:
Source Separation with Gaussian Process Models. ECML 2007: 262-273 - [c45]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) 2007: 271-280 - [c44]Jaehwan Kim, Kwang-Hyun Shim, Seungjin Choi:
Soft Geodesic Kernel K-Means. ICASSP (2) 2007: 429-432 - [c43]Yong-Deok Kim, Seungjin Choi:
A Method of Initialization for Nonnegative Matrix Factorization. ICASSP (2) 2007: 537-540 - [c42]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) 2007: 1393-1396 - [c41]Yong-Deok Kim, Seungjin Choi:
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition. ICB 2007: 19-28 - [c40]Kye-Hyeon Kim, Seungjin Choi:
Neighbor search with global geometry: a minimax message passing algorithm. ICML 2007: 401-408 - [c39]Seunghak Lee, Iryoung Jeong, Seungjin Choi:
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. IJCAI 2007: 2523-2529 - [c38]Seungjin Choi:
Wake-Sleep PCA. IJCNN 2007: 2432-2435 - 2006
- [j16]Seungjin Choi:
Differential learning algorithms for decorrelation and independent component analysis. Neural Networks 19(10): 1558-1567 (2006) - [j15]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
Constrained Projection Approximation Algorithms for Principal Component Analysis. Neural Process. Lett. 24(1): 53-65 (2006) - [j14]Jaehwan Kim, Seungjin Choi:
Semidefinite spectral clustering. Pattern Recognit. 39(11): 2025-2035 (2006) - [j13]Jong Kyoung Kim, Sung Yang Bang, Seungjin Choi:
Sequence-driven features for prediction of subcellular localization of proteins. Pattern Recognit. 39(12): 2301-2311 (2006) - [j12]JaeMo Sung, Sung Yang Bang, Seungjin Choi:
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition. Pattern Recognit. Lett. 27(1): 66-75 (2006) - [j11]Jong Kyoung Kim, G. P. S. Raghava, Sung Yang Bang, Seungjin Choi:
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine. Pattern Recognit. Lett. 27(9): 996-1001 (2006) - [c37]Sookjeong Kim, Seungjin Choi:
Topographic Independent Component Analysis of Gene Expression Time Series Data. ICA 2006: 462-469 - [c36]Minje Kim, Seungjin Choi:
Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance. ICA 2006: 617-624 - [c35]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Nonnegative Matrix Factorization for Motor Imagery EEG Classification. ICANN (2) 2006: 250-259 - [c34]Jong Kyoung Kim, Seungjin Choi:
Tree-Dependent Components of Gene Expression Data for Clustering. ICANN (2) 2006: 837-846 - [c33]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
Iterative Projection Approximation Algorithms for PCA. ICASSP (5) 2006: 845-848 - [c32]Minje Kim, Seungjin Choi:
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. ICPR (1) 2006: 950-954 - [c31]Sunho Park, Seungjin Choi:
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. IJCNN 2006: 1254-1259 - [c30]Heeyoul Choi, Seungjin Choi:
Relative Gradient Learning for Independent Subspace Analysis. IJCNN 2006: 3919-3924 - 2005
- [j10]Yong-Choon Cho, Seungjin Choi:
Nonnegative features of spectro-temporal sounds for classification. Pattern Recognit. Lett. 26(9): 1327-1336 (2005) - [j9]Yongjin Lee, Seungjin Choi:
Maximum within-cluster association. Pattern Recognit. Lett. 26(10): 1412-1422 (2005) - [c29]Hyejin Kim, Seungjin Choi:
Independent Subspaces of Gene Expression Data. Artificial Intelligence and Applications 2005: 485-490 - [c28]JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani:
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models. ECML 2005: 377-388 - [c27]Seungjin Choi:
On Variations of Power Iteration. ICANN (2) 2005: 145-150 - [c26]Minje Kim, Seungjin Choi:
On Spectral Basis Selection for Single Channel Polyphonic Music Separation. ICANN (2) 2005: 157-162 - [c25]Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi:
Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach. ICANN (2) 2005: 709-714 - [c24]Heeyoul Choi, Seungjin Choi:
Relative trust region learning for ICA. ICASSP (5) 2005: 261-264 - [c23]Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin Choi:
F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation. ISCAS (4) 2005: 3595-3598 - [c22]Sookjeong Kim, Seungjin Choi:
Independent arrays or independent time courses for gene expression time series. ISCAS (6) 2005: 5886-5889 - 2004
- [j8]Seungjin Choi:
Sequential EM learning for subspace analysis. Pattern Recognit. Lett. 25(14): 1559-1567 (2004) - [c21]Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh:
A new way of PCA: integrated-squared-error and EM algorithms. ICASSP (5) 2004: 777-780 - [c20]Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh:
A multiplicative up-propagation algorithm. ICML 2004 - [c19]Heeyoul Choi, Sookjeong Kim, Seungjin Choi:
Trust-region learning for ICA. IJCNN 2004 - [c18]Yongjin Lee, Seungjin Choi:
Minimum entropy, k-means, spectral clustering. IJCNN 2004 - [c17]Kijoeng Nam, Hongmo Je, Seungjin Choi:
Fast stochastic neighbor embedding: a trust-region algorithm. IJCNN 2004 - [c16]Yong-Choon Cho, Seungjin Choi:
Learning nonnegative features of spectro-temporal sounds for classification. INTERSPEECH 2004: 989-992 - 2003
- [j7]Seungjin Choi, Andrzej Cichocki, Liqing Zhang, Shun-ichi Amari:
Approximate Maximum Likelihood Source Separation Using the Natural Gradient. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(1): 198-205 (2003) - [c15]Seungjin Choi:
Differential ICA. ICANN 2003: 68-75 - [c14]Seungjin Choi:
Differential learning and random walk model. ICASSP (2) 2003: 721-724 - [c13]Heyjin Kim, Seungjin Choi, Sung Yang Bang:
Membership scoring via independent feature subspace analysis for grouping co-expressed genes. IJCNN 2003: 1690-1695 - [c12]Hyekyoung Lee, Seungjin Choi:
PCA+HMM+SVM for EEG pattern classification. ISSPA (1) 2003: 541-544 - [c11]Sungcheol Park, Hyekyoung Lee, Seungjin Choi:
ICA+OPCA for artifact-robust classification of EEG data. NNSP 2003: 585-594 - 2002
- [j6]Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier:
Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. Neurocomputing 49(1-4): 299-314 (2002) - [j5]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Equivariant nonstationary source separation. Neural Networks 15(1): 121-130 (2002) - [j4]Seungjin Choi, Andrzej Cichocki, Adel Belouchrani:
Second Order Nonstationary Source Separation. J. VLSI Signal Process. 32(1-2): 93-104 (2002) - [c10]Seungjin Choi:
Adaptive Differential Decorrelation: A Natural Gradient Algorithm. ICANN 2002: 1168-1173 - [c9]Frédéric Berthommier, Seungjin Choi:
Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation. INTERSPEECH 2002: 1825-1828 - 2001
- [c8]Seungjin Choi, Andrzej Cichocki:
Correlation matching approach to source separation in the presence of spatially correlated noise. ISSPA 2001: 272-275 - 2000
- [j3]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Flexible Independent Component Analysis. J. VLSI Signal Process. 26(1-2): 25-38 (2000) - [c7]Seungjin Choi, Oyoung Lee:
Factorial Code Representation of Faces for Recognition. Biologically Motivated Computer Vision 2000: 42-51 - [c6]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Local stability analysis of flexible independent component analysis algorithm. ICASSP 2000: 3426-3429 - [c5]Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier:
Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. INTERSPEECH 2000: 83-86
1990 – 1999
- 1999
- [j2]Seungjin Choi, Andrzej Cichocki:
An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment. J. Commun. Networks 1(1): 19-25 (1999) - [c4]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. ICASSP 1999: 1085-1088 - 1998
- [j1]Seungjin Choi, Ruey-Wen Liu, Andrzej Cichocki:
A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals. Neural Process. Lett. 7(2): 61-68 (1998) - 1997
- [c3]Seungjin Choi, Ruey-Wen Liu:
A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria. ESANN 1997 - [c2]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach. ICONIP (1) 1997: 641-644 - [c1]Seungjin Choi, Shun-ichi Amari, Andrzej Cichocki:
Natural Gradient Learning Algorithms for Decorrelation. ICONIP (1) 1997: 645-648
Coauthor Index
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