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CVPR
2012
IEEE
11 years 10 months ago
Graph cuts optimization for multi-limb human segmentation in depth maps
We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps...
Antonio Hernández-Vela, Nadezhda Zlateva, A...
ECIS
2001
13 years 9 months ago
Modelling IS successions in e commerce
The paper considers the conditions governing the diffusion and development of e-commerce. The analysis builds on earlier discussions of technological successions and explores a nu...
Paul Windrum, Chris Birchenhall, Ray Hackney
ICPR
2008
IEEE
14 years 2 months ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
AAAI
2010
13 years 9 months ago
Materializing Inferred and Uncertain Knowledge in RDF Datasets
There is a growing need for efficient and scalable semantic web queries that handle inference. There is also a growing interest in representing uncertainty in semantic web knowled...
James P. McGlothlin, Latifur R. Khan
NIPS
2008
13 years 9 months ago
Exact Convex Confidence-Weighted Learning
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Koby Crammer, Mark Dredze, Fernando Pereira