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» An efficient class and object encoding
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CVPR
2005
IEEE
16 years 1 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
ECCV
2008
Springer
16 years 1 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
CVPR
2010
IEEE
1373views Computer Vision» more  CVPR 2010»
15 years 8 months ago
Harmony Potentials for Joint Classification and Segmentation
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
DCC
2008
IEEE
15 years 11 months ago
Server Placement in Multiple-Description-Based Media Streaming
Multiple description coding (MDC) has emerged as a powerful technique for reliable real-time communications over lossy packet networks. In its basic form, it involves encoding a me...
Satyajeet Ahuja, Marwan Krunz
ICCBR
2003
Springer
15 years 5 months ago
Case Mining from Large Databases
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
Qiang Yang, Hong Cheng