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» A General Framework for Graph Sparsification
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173
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WWW
2010
ACM
15 years 9 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
120
Voted
CVPR
2010
IEEE
15 years 4 months ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
CVPR
2005
IEEE
16 years 3 months ago
Accurate Motion Layer Segmentation and Matting
Given a video sequence, obtaining accurate layer segmentation and alpha matting is very important for various applications. However, when a non-textured or smooth area is present ...
Jiangjian Xiao, Mubarak Shah
121
Voted
CVPR
2008
IEEE
16 years 3 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
111
Voted
CVPR
2008
IEEE
16 years 3 months ago
Interactive image matting for multiple layers
Image matting deals with finding the probability that each pixel in an image belongs to a user specified `object' or to the remaining `background'. Most existing methods...
Dheeraj Singaraju, René Vidal