97 search results - page 17 / 20 » Unsupervised Learning of Finite Mixture Models |
75
Voted
JMLR
2008
14 years 9 months ago
2008
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper presents a novel Gaussianized vector representation for scene images by an unsupervised approach. First, each image is encoded as an ensemble of orderless bag of featur...
104
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AI
2006
Springer
14 years 9 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
111
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AAAI
2010
14 years 7 months ago
2010
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
NIPS
2004
14 years 11 months ago
2004
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...