688 search results - page 89 / 138 » Computing with subspaces |
73
Voted
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
101
click to vote
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
111
click to vote
CVPR
2012
IEEE
13 years 3 days ago
2012
IEEE
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
BIRTHDAY
2009
Springer
15 years 4 months ago
2009
Springer
We present a new hybrid BDD and SAT-based algorithm for model checking. Our algorithm is based on backward search, where each pre-image computation consists of an efficient All-SA...