7413 search results - page 1097 / 1483 » Using Specularities for Recognition |
168
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Multi-instance learning and semi-supervised learning are different branches of machine learning. The former attempts to learn from a training set consists of labeled bags each con...
205
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
176
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
144
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
186
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ISBI
2008
IEEE
16 years 7 months ago
2008
IEEE
A particularly difficult task in molecular imaging is the analysis of fluorescence microscopy images of neural tissue, as they usually exhibit a high density of objects with diffu...