890 search results - page 111 / 178 » Learning Generic Prior Models for Visual Computation |
CHI
2007
ACM
15 years 1 months ago
2007
ACM
Software developers must modify their programs to keep up with changing requirements and designs. Often, a conceptually simple change can require numerous edits that are similar b...
108
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SI3D
2003
ACM
15 years 3 months ago
2003
ACM
We present a new algorithm for best-effort simplification of polygonal meshes based on principles of visual perception. Building on previous work, we use a simple model of low-lev...
134
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ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
103
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KDD
2005
ACM
15 years 10 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
WAPCV
2004
Springer
15 years 3 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 ...