- Computation and Relaxation of Conditions for Equivalence Minimization
- Robust Principal Component Analysis? EMMANUEL J. CAND `ES and XIAODONG LI, Stanford University
- Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
- Symmetry-based 3-D reconstruction from perspective images q
- IEEE TRANS. ON INFORMATION THEORY, 2009. 1 Dense Error Correction via 1
- CLASSIFICATION VIA MINIMUM INCREMENTAL CODING LENGTH (MICL) JOHN WRIGHT, YI MA AND YANGYU TAO ZHOUCHEN LIN, HEUNG-YEUNG SHUM
- Decomposing Background Topics from Keywords by Principal Component Pursuit
- Robust Face Recognition via Sparse Representation
- Copyright by SIAM. Unauthorized reproduction of this article is prohibited. In this issue, we feature two very different articles. The first, "Estimation of Sub-
- Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
- Unsupervised Segmentation of Natural Images via Lossy Data Compression
- ForPeerReview Motion Segmentation in the Presence of Outlying,
- Towards a Practical Face Recognition System: Robust Alignment and Illumination by Sparse
- IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006 1 Multi-Scale Hybrid Linear Models for Lossy
- On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image
- SIAM REVIEW c 2008 Society for Industrial and Applied Mathematics Vol. 50, No. 3, pp. 000000
- MANUSCRIPT ACCEPTED BY IEEE TRANS. PAMI, MARCH 2008. 18 I. RELATIONSHIPS TO NEAREST NEIGHBOR AND NEAREST
- Image Tag Refinement Towards Low-Rank, Content-Tag Prior and Error Sparsity
- ASIAN CONFERENCE ON COMPUTER VISION, JAN.23-25, 2002 1 Rank De ciency Condition of the Multiple View
- Landing an Unmanned Air Vehicle: Vision Based Motion Estimation and Nonlinear Control
- Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation \Lambda
- COMMUNICATIONS IN INFORMATION AND SYSTEMS c 2001 International Press
- Recognition of Human Gaits Alessandro Bissacco Alessandro Chiuso y Yi Ma z Stefano Soatto
- A LIE THEORETIC APPROACH TO STRUCTURE AND MOTION IN COMPUTER VISION 1
- SmartATMS : A SIMULATOR FOR AIR TRAFFIC MANAGEMENT SYSTEMS TakKuen John Koo
- TwoView Multibody Structure from Motion Department Electrical Engineering and Computer Sciences
- Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes ?
- Rank Conditions on the Multiple View Matrix Yi Ma and Kun Huang
- Submitted to 2002 IEEE International Conference on Robotics and Automation Multiple View Motion Estimation and Control for
- Vision Guided Navigation for A Nonholonomic Mobile Robot \Lambda Yi Ma Jana Koseck'a Shankar Sastry
- Kruppa Equation Revisited: its Renormalization and Yi Ma Ren'e Vidal Jana Koseck'a Shankar Sastry
- A Differential Geometric Approach to Multiple View Geometry in Spaces of Constant Curvature
- Optimal Motion From Image Sequences: A Riemannian Viewpoint Yi Ma Jana Koseck'a Shankar Sastry
- Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements
- This is page i Printer: Opaque this
- Journal of Mathematical Imaging and Vision c 2006 Springer Science + Business Media, LLC. Manufactured in The Netherlands.
- Sparsity and Robustness in Face Recognition A tutorial on how to apply the models and tools correctly
- A Survey of Geometric Vision Kun Huang Yi Ma
- Classical multiple-view geometry studies the reconstruction of a static scene ob-served by a rigidly moving camera. However, in many real-world applications
- Stable Principal Component Pursuit Zihan Zhou, Xiaodong Li, John Wright, Emmanuel Cand`es and Yi Ma
- Lecture Notes in Computer Science 4358 Commenced Publication in 1973
- PROCEEDINGS OF IEEE, MARCH 2009 1 Sparse Representation For Computer Vision and
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 27, NO. 12, PAGE 1945-1959, DECEMBER 2005 1 Generalized Principal Component Analysis (GPCA)
- RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images
- Pattern Recognition 38 (2005) 825834 www.elsevier.com/locate/patcog
- FAST CONVEX OPTIMIZATION ALGORITHMS FOR EXACT RECOVERY OF A CORRUPTED LOW-RANK MATRIX
