862 search results - page 47 / 173 » Regularized Learning with Networks of Features |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
ACCV
2009
Springer
15 years 6 months ago
2009
Springer
This paper addresses the problem of segmenting a textured mesh into objects or object classes, consistently with user-supplied seeds. We view this task as transductive learning and...
JNCA
2006
14 years 11 months ago
2006
With the goal of supporting the knowledge circulation and creation process in a society, we have studied story-based communication in a network community. On the basis of this res...
110
click to vote
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We present a method for the simultaneous detection and segmentation of people from static images. The proposed technique requires no manual segmentation during training, and explo...
102
click to vote
WAPCV
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...