167 search results - page 14 / 34 » Learning words from sights and sounds: a computational model |
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
72
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ACL
2010
14 years 9 months ago
2010
We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We build word models for American Sign Language (ASL) that transfer between different signers and different aspects. This is advantageous because one could use large amounts of la...
109
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
101
Voted
CORR
2008
Springer
14 years 11 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...