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» Learning from Partial Observations
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VC
2008
118views more  VC 2008»
13 years 10 months ago
Enriching a motion database by analogous combination of partial human motions
We synthesize new human body motions from existing motion data. We divide the body of an animated character into several parts, such as to upper and lower body, and partition the m...
Won-Seob Jang, Won-Kyu Lee, In-Kwon Lee, Jehee Lee
NIPS
2000
13 years 11 months ago
Temporally Dependent Plasticity: An Information Theoretic Account
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
Gal Chechik, Naftali Tishby
ICCV
2009
IEEE
13 years 7 months ago
An HOG-LBP human detector with partial occlusion handling
By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we propose a novel human detection approach capable of handling partial occl...
Xiaoyu Wang, Tony X. Han, Shuicheng Yan
COLT
2005
Springer
14 years 15 hour ago
Data Dependent Concentration Bounds for Sequential Prediction Algorithms
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
Tong Zhang
DATAMINE
2006
157views more  DATAMINE 2006»
13 years 10 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz