532 search results - page 41 / 107 » Unsupervised Texture Segmentation Using Feature Distribution... |
134
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ICASSP
2008
IEEE
15 years 8 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
113
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ISCAS
2008
IEEE
15 years 8 months ago
2008
IEEE
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...
103
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
118
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ICIP
2002
IEEE
16 years 3 months ago
2002
IEEE
An image segmentation scheme that utilizes image-based flow fields in a curve evolution framework is presented. Geometric curve evolution methods require an edge function and a ve...
106
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CVIU
2007
15 years 1 months ago
2007
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...