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» A Probability Model for Image Annotation
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Publication
204views
14 years 11 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi
115
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BMCBI
2006
95views more  BMCBI 2006»
15 years 1 months ago
XcisClique: analysis of regulatory bicliques
Background: Modeling of cis-elements or regulatory motifs in promoter (upstream) regions of genes is a challenging computational problem. In this work, set of regulatory motifs si...
Amrita Pati, Cecilia Vasquez-Robinet, Lenwood S. H...
120
Voted
ICCV
2003
IEEE
16 years 3 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
15 years 5 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman
161
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TIP
2008
222views more  TIP 2008»
15 years 1 months ago
Local Region Descriptors for Active Contours Evolution
Edge-based and region-based active contours are frequently used in image segmentation. While edges characterize small neighborhoods of pixels, region descriptors characterize entir...
Cristina Darolti, Alfred Mertins, Christoph Bodens...