705 search results - page 110 / 141 » Unsupervised Learning Using MML |
131
Voted
CVPR
2000
IEEE
16 years 4 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...
127
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
92
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
110
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BIOADIT
2006
Springer
15 years 6 months ago
2006
Springer
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
149
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EELC
2006
15 years 5 months ago
2006
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...