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» Learning Features by Contrasting Natural Images with Noise
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BC
2004
114views more  BC 2004»
13 years 7 months ago
The world from a cat's perspective - statistics of natural videos
The mammalian visual system is one of the most intensively investigated sensory systems. However, our knowledge of the typical input it is operating on is surprisingly limited. To ...
Belinda Y. Betsch, Wolfgang Einhäuser, Konrad...
IEEECGIV
2007
IEEE
14 years 2 months ago
A Novel Approach for Change Detection in Remote Sensing Image Based on Saliency Map
Detecting change of remote sensing images is very important for some applications such as tracking of moving objects and motion estimation. Traditional work on change detection ha...
Minghui Tian, Shouhong Wan, Lihua Yue
EMNLP
2009
13 years 5 months ago
Simple Coreference Resolution with Rich Syntactic and Semantic Features
Coreference systems are driven by syntactic, semantic, and discourse constraints. We present a simple approach which completely modularizes these three aspects. In contrast to muc...
Aria Haghighi, Dan Klein
TITB
2011
217views more  TITB 2011»
13 years 2 months ago
Phase-Based Level Set Segmentation of Ultrasound Images
— Ultrasound images segmentation is a difficult problem due to speckle noise, low contrast and local changes of intensity. Intensity based methods do not perform particularly we...
Ahror Belaid, Djamal Boukerroui, Yves Maingourd, J...
PRL
2007
155views more  PRL 2007»
13 years 7 months ago
Integrated patch model: A generative model for image categorization based on feature selection
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
Feng Xu, Yu-Jin Zhang