23 search results - page 2 / 5 » Variability regularization in large-margin classification |
DAGM
2008
Springer
13 years 8 months ago
2008
Springer
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
NIPS
2004
13 years 7 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
PR
2008
13 years 6 months ago
2008
Hundreds of millions of users each day submit queries to the Web search engine. The user queries are typically very short which makes query understanding a challenging problem. In...
ECCV
2008
Springer
14 years 8 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
ISCAS
2003
IEEE
13 years 11 months ago
2003
IEEE
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...