737 search results - page 50 / 148 » A General Model for Multiple View Unsupervised Learning |
AVSS
2005
IEEE
14 years 2 months ago
2005
IEEE
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is gener...
JAIR
2000
13 years 8 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
ICML
2009
IEEE
14 years 3 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
PAMI
2008
13 years 9 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...