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» Unsupervised Learning of Models for Recognition
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147
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SSPR
2004
Springer
15 years 9 months ago
EM Initialisation for Bernoulli Mixture Learning
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
Alfons Juan, José García-Herná...
118
Voted
IBPRIA
2005
Springer
15 years 9 months ago
A Learning Framework for Object Recognition on Image Understanding
Abstract. In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises ...
Xavier Muñoz, Anna Bosch, Joan Martí...
165
Voted
CVPR
2012
IEEE
13 years 6 months ago
Multi-view latent variable discriminative models for action recognition
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
Yale Song, Louis-Philippe Morency, Randall Davis
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 10 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
170
Voted
FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
15 years 9 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...