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SIAMIS
2011
13 years 3 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
CVPR
2009
IEEE
15 years 3 months ago
Robust Multi-Class Transductive Learning with Graphs
Graph-based methods form a main category of semisupervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling
CVPR
2000
IEEE
14 years 10 months ago
Fast Multiscale Image Segmentation
We introduce a fast, multiscale algorithm for image segmentation. Our algorithm uses modern numeric techniques to nd an approximate solution to normalized cut measures in time tha...
Eitan Sharon, Achi Brandt, Ronen Basri
CVPR
2001
IEEE
14 years 10 months ago
Three-Dimensional Medial Shape Representation Incorporating Object Variability
This paper presents a novel processing scheme for the automatic computation of a medial shape model which is representative for an object population with shape variability. The se...
Martin Styner, Guido Gerig