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» Learning a Classification Model for Segmentation
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112
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WWW
2004
ACM
16 years 1 months ago
Learning block importance models for web pages
Some previous works show that a web page can be partitioned to multiple segments or blocks, and usually the importance of those blocks in a page is not equivalent. Also, it is pro...
Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
74
Voted
CVIU
1998
51views more  CVIU 1998»
15 years 25 days ago
Texture Classification and Segmentation by Cellular Neural Networks Using Genetic Learning
Tamás Szirányi, Márton Csapod...
151
Voted
ECCV
2010
Springer
14 years 11 months ago
Supervised Label Transfer for Semantic Segmentation of Street Scenes
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
Honghui Zhang, Jianxiong Xiao, Long Quan
120
Voted
TMI
2008
109views more  TMI 2008»
15 years 1 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
132
Voted
TIP
2008
169views more  TIP 2008»
15 years 1 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht