Lee M. Seversky

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 9

Top Topics

Matrix Completion

Kernel Learning

Top Venues

Comput. Graph. Forum

Stat. Anal. Data Min.

Publications

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) (2021)
Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR (2019)
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) (2017)
Matthew Berger, Katherine McDonough, Lee M. Seversky
cite2vec: Citation-Driven Document Exploration via Word Embeddings. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
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) (2017)
Lee M. Seversky, Shelby Davis, Matthew Berger
On Time-Series Topological Data Analysis: New Data and Opportunities. CVPR Workshops (2016)
Matthew Berger, Lee M. Seversky, Daniel S. Brown
Classifying swarm behavior via compressive subspace learning. ICRA (2016)
Yao Xie, Lee M. Seversky
Sequential Low-Rank Change Detection. CoRR (2016)
Yao Xie, Lee M. Seversky
Sequential low-rank change detection. Allerton (2016)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Active Perceptual Similarity Modeling with Auxiliary Information. CoRR (2015)
Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
Matrix completion with columns in union and sums of subspaces. GlobalSIP (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Efficient Online Relative Comparison Kernel Learning. CoRR (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Efficient Online Relative Comparison Kernel Learning. SDM (2015)
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)
Matthew Berger, Lee M. Seversky
Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction. CVPR (2014)
Lee M. Seversky, Lijun Yin
A Global Parity Measure for Incomplete Point Cloud Data. Comput. Graph. Forum 31 (7) (2012)
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) (2012)
Lee M. Seversky, Matt S. Berger, Lijun Yin
Harmonic point cloud orientation. Comput. Graph. 35 (3) (2011)
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)
Lee M. Seversky, Lijun Yin
Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D Point Sets. ICPR (2010)
Lee M. Seversky, Lijun Yin
Dynamic Cage-Driven 3D Range-Scan Alignment. Eurographics (Short Papers) (2010)
Lee M. Seversky, Lijun Yin
Real-time automatic 3D scene generation from natural language voice and text descriptions. ACM Multimedia (2006)
Lee M. Seversky, Lijun Yin
Real-time spatial relationship based 3D scene composition of unknown objects. SIGGRAPH Research Posters (2006)