466 search results - page 63 / 94 » Shape Priors using Manifold Learning Techniques |
127
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ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
120
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
101
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NN
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Double JPEG compression detection is of significance in digital forensics. We propose an effective machine learning based scheme to distinguish between double and single JPEG comp...
108
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ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...