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CVPR
2010
IEEE
16 years 3 months ago
A Hough Transform-Based Voting Framework for Action Recognition
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
Angela Yao, Juergen Gall, Luc Van Gool
AIED
2009
Springer
16 years 1 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
16 years 1 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer
ICPR
2008
IEEE
16 years 1 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...
172
Voted
AVSS
2007
IEEE
16 years 1 months ago
Compact representation and probabilistic classification of human actions in videos
This paper addresses the problem of classifying human actions in a video sequence. A representation eigenspace approach based on the PCA algorithm is used to train the classifier...
Carlo Colombo, Dario Comanducci, Alberto Del Bimbo