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» Image Distance Using Hidden Markov Models
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124
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PR
2010
147views more  PR 2010»
15 years 19 days ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
103
Voted
ICIP
2010
IEEE
15 years 6 days ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...

Publication
281views
17 years 2 months ago
Modeling Image Textures by Gibbs Random Fields
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
Georgy Gimel'farb
ICIP
2010
IEEE
15 years 6 days ago
3D vertebrae segmentation using graph cuts with shape prior constraints
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral densit...
Melih S. Aslan, Asem M. Ali, Dongqing Chen, Ben Ar...
NIPS
1994
15 years 3 months ago
An Input Output HMM Architecture
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
Yoshua Bengio, Paolo Frasconi