1575 search results - page 29 / 315 » Unsupervised Learning of Models for Recognition |
172
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CVPR
2000
IEEE
16 years 8 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
189
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AIPR
2002
IEEE
15 years 11 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
169
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ICCV
2003
IEEE
16 years 7 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
156
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ESANN
2007
15 years 7 months ago
2007
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
183
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...