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» Learning a Classification Model for Segmentation
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ICASSP
2010
IEEE
13 years 9 months ago
A union of incoherent spaces model for classification
We present a new and computationally efficient scheme for classifying signals into a fixed number of known classes. We model classes as subspaces in which the corresponding data...
Karin Schnass, Pierre Vandergheynst
MM
2004
ACM
212views Multimedia» more  MM 2004»
14 years 2 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 9 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
MICCAI
2008
Springer
14 years 10 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
ACL
2009
13 years 6 months ago
An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
Canasai Kruengkrai, Kiyotaka Uchimoto, Jun'ichi Ka...