1547 search results - page 42 / 310 » Learning a Classification Model for Segmentation |
119
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IJCV
2008
15 years 2 months ago
2008
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
132
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
123
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ICMCS
2009
IEEE
14 years 12 months ago
2009
IEEE
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
149
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
117
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...