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TOG
2010
114views more  TOG 2010»
14 years 11 months ago
MovieReshape: tracking and reshaping of humans in videos
We present a system for quick and easy manipulation of the body shape and proportions of a human actor in arbitrary video footage. The approach is based on a morphable model of 3D...
Arjun Jain, Thorsten Thormählen, Hans-Peter S...
TIP
2011
137views more  TIP 2011»
14 years 10 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
CORR
2011
Springer
168views Education» more  CORR 2011»
14 years 8 months ago
Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
— This paper describes the winning entry to the IJCNN 2011 Social Network Challenge run by Kaggle.com. The goal of the contest was to promote research on realworld link predictio...
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubin...
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 8 months ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 8 months ago
Generalized Boosting Algorithms for Convex Optimization
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
Alexander Grubb, J. Andrew Bagnell
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