312 search results - page 40 / 63 » Combined Optimization of Feature Selection and Algorithm Par... |
176
Voted
IJCV
2006
15 years 2 months ago
2006
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
118
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
147
Voted
ANNPR
2006
Springer
15 years 6 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
130
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
144
Voted
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...