Email:
ehsan [at] eecs [dot] berkeley [dot] edu

Address:
University of California, Berkeley
TRUST Center
Room 337 Cory Hall
Engineering Department
Berkeley, Ca 94720-1774

Phone:
510-643-5105

Ehsan Elhamifar

Postdoctoral Fellow
Electrical Engineering and Computer Science Department
University of California, Berkeley

E. Elhamifar
Sparse Modeling for High-Dimensional Multi-Manifold Data Analysis
Ph.D. Thesis, Johns Hopkins University, Department of Electrical and Computer Engineering, 2012.

E. Elhamifar, G. Sapiro, and S. Sastry
Dissimilarity-based Sparse Subset Selection
under review in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.

M. Soltanolkotabi, E. Elhamifar, and E. J. Cand�s
Robust Subspace Clustering
Annals of Statistics, 2014.

E. Elhamifar and R. Vidal
Sparse Subspace Clustering: Algorithm, Theory, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013.

E. Elhamifar and R. Vidal
Block-Sparse Recovery via Convex Optimization
IEEE Transactions on Signal Processing (TSP), 2012.

E. Elhamifar, S. Burden, and S. Sastry
Adaptive Piecewise-Affine Inverse Modeling of Hybrid Dynamical Systems
World Congress of the International Federation of Automatic Control (IFAC), 2014.

E. Elhamifar, G. Sapiro, A. Yang , and S. Sastry
A Convex Optimization Framework for Active Learning
International Conference on Computer Vision (ICCV), 2013.

C. P. Lam, A. Yang, E. Elhamifar, and S. Sastry
Multiscale TILT Feature Detection with Application to Geometric Image Segmentation
ICCV Workshop on 3D Representation and Recognition (3dRR-ICCV), 2013.

E. Elhamifar, G. Sapiro, and R. Vidal
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery
Neural Information Processing Systems (NIPS), 2012.

E. Elhamifar, G. Sapiro, and R. Vidal
See All by Looking at A Few: Sparse Modeling for Finding Representative Objects
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

L. Tao, E. Elhamifar, S. Khudanpur, G. Hager, and R. Vidal
Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation
Information Processing in Computer Assisted Interventions (IPCAI), 2012.

D. Singaraju, R. Tron, E. Elhamifar, A. Yang, and S. Sastry
On the Lagrangian Biduality of Sparsity Minimization Problems
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012.

E. Elhamifar and R. Vidal
Sparse Manifold Clustering and Embedding
Neural Information Processing Systems (NIPS), 2011.

E. Elhamifar and R. Vidal
Sparsity in Unions of Subspaces for Classification and Clustering of High-Dimensional Data
Allerton Conference on Communication, Control, and Computing (Allerton), 2011.

E. Elhamifar and R. Vidal
Robust Classification using Structured Sparse Representation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

J. Li, E. Elhamifar, I-J Wang, and R. Vidal
Consensus with Robustness to Outliers via Distributed Optimization
IEEE International Conference on Decision and Control (CDC), 2010.

E. Elhamifar and R. Vidal
Clustering Disjoint Subspaces via Sparse Representation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010.

E. Elhamifar and R. Vidal
Distributed Calibration of Camera Sensor Networks
ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2009.

E. Elhamifar and R. Vidal
Sparse Subspace Clustering
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

E. Elhamifar, M. Petreczky, and R. Vidal
Rank Tests for the Observability of Discrete-time JLSs with Inputs
American Control Conference (ACC), 2009.

N. Sadati and E. Elhamifar
Semi-Decentralized Control of Multi-Agent Systems based on Redundant Manipulator Optimization Methods
IEEE International Workshop on Advanced Motion Control (AMC), 2006.

N. Sadati and E. Elhamifar
Application of Neural Networks to Decentralized Control of Robot Manipulators with High Degree of Freedom
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2005.

E. Elhamifar and R. Vidal
Automatic Calibration of Cameras with Special Motions
Technical Report, Johns Hopkins University, 2009.