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» On Randomized Lanczos Algorithms
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267
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CVPR
2012
IEEE
13 years 10 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
192
Voted
CVPR
2003
IEEE
16 years 9 months ago
Object Segmentation in Videos from Moving Camera with MRFs on Color and Motion Features
In this paper we address the problem of fast segmenting moving objects in video acquired by moving camera or more generally with a moving background. We present an approach based ...
Rita Cucchiara, Andrea Prati, Roberto Vezzani
213
Voted
MICCAI
2008
Springer
16 years 8 months ago
Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation
Abstract. Graph-based algorithms have become increasingly popular for medical image segmentation. The fundamental process for each of these algorithms is to use the image content t...
Leo Grady, Marie-Pierre Jolly
203
Voted
STOC
2004
ACM
142views Algorithms» more  STOC 2004»
16 years 7 months ago
Lower bounds for local search by quantum arguments
The problem of finding a local minimum of a black-box function is central for understanding local search as well as quantum adiabatic algorithms. For functions on the Boolean hype...
Scott Aaronson
226
Voted
CVPR
2010
IEEE
16 years 3 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh