58 search results - page 6 / 12 » Multi-Conditional Learning: Generative Discriminative Traini... |
ICDAR
2009
IEEE
14 years 2 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
HIS
2004
13 years 9 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
PAMI
2002
13 years 7 months ago
2002
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
BMCBI
2004
13 years 7 months ago
2004
Background: Recent genomic and bioinformatic advances have motivated the development of numerous network models intending to describe graphs of biological, technological, and soci...