1334 search results - page 91 / 267 » Composite kernel learning |
152
Voted
SSPR
2010
Springer
15 years 1 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
103
click to vote
JCP
2006
15 years 3 months ago
2006
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
119
click to vote
AAAI
2000
15 years 4 months ago
2000
Compelling synthetic characters must behave in ways that reflect their past experience and thus allow for individual personalization. We therefore need a method that allows charac...
140
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
128
click to vote
ML
2008
ACM
15 years 3 months ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...