524 search results - page 70 / 105 » 2D Shape Recognition by Hidden Markov Models |
105
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CSL
2007
Springer
15 years 1 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
109
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ICCV
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we show how to reconstruct both 3D shape and 2D texture of a class of surfaces from a single perspective image. We consider the so-called the generalized cylindrica...
136
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
210
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AR
2011
14 years 9 months ago
2011
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
113
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MIR
2006
ACM
15 years 8 months ago
2006
ACM
We propose a robust scene recognition framework using scene context information for multimedia contents. Multimedia contents consist of scene sequences that are more likely to hap...