1575 search results - page 111 / 315 » Unsupervised Learning of Models for Recognition |
104
Voted
PRL
2006
15 years 3 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
100
Voted
ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
We describe a fast and efficient online algorithm for phoneme sequence speech recognition. Our method is using a discriminative training to update the model parameters one utteran...
124
Voted
PAKDD
2005
ACM
15 years 9 months ago
2005
ACM
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
143
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ROMAN
2007
IEEE
15 years 9 months ago
2007
IEEE
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...
127
Voted
IJCV
2008
15 years 3 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...