495 search results - page 31 / 99 » Sparse representation algorithms based on mean-field approxi... |
84
Voted
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
67
Voted
ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
This paper describes a novel appearance based scheme for extraction and representation of video objects. The tracking algorithm used for video object extraction is based upon a ne...
CVPR
2006
IEEE
16 years 3 days ago
2006
IEEE
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper proposes a compressive sampling scheme based on random temporal sampling using a successive approximation register (SAR) ADC architecture. Variable wordlength data samp...