521 search results - page 33 / 105 » Sparse probabilistic classifiers |
141
Voted
ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...
114
Voted
CIVR
2003
Springer
15 years 8 months ago
2003
Springer
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
113
Voted
PKDD
2010
Springer
15 years 18 days ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
114
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
108
Voted
HPCA
2006
IEEE
16 years 3 months ago
2006
IEEE
Hardware counters are a fundamental building block of modern high-performance processors. This paper explores two applications of probabilistic counter updates, in which the outpu...