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2020 – today
- 2021
[j7]Namjoon Suh, Xiaoming Huo
, Eric Heim, Lee M. Seversky:
A network model that combines latent factors and sparse graphs. Stat. Anal. Data Min. 14(2): 97-115 (2021)
2010 – 2019
- 2019
- [i4]Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky:
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR abs/1912.00524 (2019) - 2017
- [j6]Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gaël Guennebaud, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva:
A Survey of Surface Reconstruction from Point Clouds. Comput. Graph. Forum 36(1): 301-329 (2017) - [j5]Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky:
Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. IEEE Trans. Signal Process. 65(20): 5421-5436 (2017) - [j4]Matthew Berger, Katherine McDonough, Lee M. Seversky:
cite2vec: Citation-Driven Document Exploration via Word Embeddings. IEEE Trans. Vis. Comput. Graph. 23(1): 691-700 (2017) - 2016
- [c12]Yao Xie, Lee M. Seversky:
Sequential low-rank change detection. Allerton 2016: 128-133 - [c11]Lee M. Seversky, Shelby Davis, Matthew Berger:
On Time-Series Topological Data Analysis: New Data and Opportunities. CVPR Workshops 2016: 1014-1022 - [c10]Matthew Berger, Lee M. Seversky, Daniel S. Brown:
Classifying swarm behavior via compressive subspace learning. ICRA 2016: 5328-5335 - [i3]Yao Xie, Lee M. Seversky:
Sequential Low-Rank Change Detection. CoRR abs/1610.00732 (2016) - 2015
- [c9]Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky:
Matrix completion with columns in union and sums of subspaces. GlobalSIP 2015: 785-789 - [c8]Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht:
Efficient Online Relative Comparison Kernel Learning. SDM 2015: 271-279 - [i2]Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht:
Efficient Online Relative Comparison Kernel Learning. CoRR abs/1501.01242 (2015) - [i1]Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht:
Active Perceptual Similarity Modeling with Auxiliary Information. CoRR abs/1511.02254 (2015) - 2014
- [c7]Matthew Berger, Lee M. Seversky:
Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction. CVPR 2014: 1274-1281 - [c6]Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva:
State of the Art in Surface Reconstruction from Point Clouds. Eurographics (State of the Art Reports) 2014: 161-185 - 2012
- [j3]Lee M. Seversky, Lijun Yin:
A Global Parity Measure for Incomplete Point Cloud Data. Comput. Graph. Forum 31(7): 2097-2106 (2012) - [j2]Yanhui Huang, Xing Zhang, Yangyu Fan, Lijun Yin, Lee M. Seversky, James Allen, Tao Lei, Weijun Dong:
Reshaping 3D facial scans for facial appearance modeling and 3D facial expression analysis. Image Vis. Comput. 30(10): 750-761 (2012) - 2011
- [j1]Lee M. Seversky, Matt S. Berger, Lijun Yin:
Harmonic point cloud orientation. Comput. Graph. 35(3): 492-499 (2011) - [c5]Yanhui Huang, Xing Zhang, Yangyu Fan, Lijun Yin, Lee M. Seversky, Tao Lei, Weijun Dong:
Reshaping 3D facial scans for facial appearance modeling and 3D facial expression analysis. FG 2011: 422-429 - 2010
- [c4]Lee M. Seversky, Lijun Yin:
Dynamic Cage-Driven 3D Range-Scan Alignment. Eurographics (Short Papers) 2010: 93-96 - [c3]Lee M. Seversky, Lijun Yin:
Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D Point Sets. ICPR 2010: 3557-3560
2000 – 2009
- 2006
- [c2]Lee M. Seversky, Lijun Yin:
Real-time automatic 3D scene generation from natural language voice and text descriptions. ACM Multimedia 2006: 61-64 - [c1]Lee M. Seversky, Lijun Yin:
Real-time spatial relationship based 3D scene composition of unknown objects. SIGGRAPH Research Posters 2006: 81
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