959 search results - page 126 / 192 » Three Features for Component Frameworks |
143
click to vote
JMLR
2011
14 years 10 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
141
Voted
TVCG
2012
13 years 6 months ago
2012
—This paper describes a fully automated framework to generate realistic head motion, eye gaze, and eyelid motion simultaneously based on live (or recorded) speech input. Its cent...
160
Voted
AMFG
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract. 3D face tracking is an important component for many computer vision applications. Most state-of-the-art tracking algorithms can be characterized as being either intensity...
129
Voted
HICSS
2003
IEEE
15 years 8 months ago
2003
IEEE
Our “information-oriented” society shows an increasing exigency of life-long learning. In such framework, online Learning is becoming an important tool to allow the flexibilit...
144
click to vote
AAAI
2008
15 years 5 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...