1547 search results - page 175 / 310 » Learning a Classification Model for Segmentation |
158
Voted
ECCV
2008
Springer
16 years 7 months ago
2008
Springer
Abstract. This paper presents a unified approach to crowd segmentation. A global solution is generated using an Expectation Maximization framework. Initially, a head and shoulder d...
126
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NIPS
2001
15 years 6 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
167
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IJCAI
2003
15 years 6 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
157
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JMLR
2008
15 years 5 months ago
2008
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
165
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ICDAR
2011
IEEE
14 years 4 months ago
2011
IEEE
—In this paper, we propose a novel method for extracting handwritten characters from multi-language document images, which may contain various types of characters, e.g. Chinese, ...