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» Bernoulli Mixture Models for Binary Images
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IJCV
2002
133views more  IJCV 2002»
13 years 9 months ago
Probabilistic Tracking with Exemplars in a Metric Space
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
Kentaro Toyama, Andrew Blake
CVPR
2009
IEEE
15 years 5 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...
ICIP
2010
IEEE
13 years 7 months ago
An integer programming approach to visual compliance
Visual compliance has emerged as a new paradigm to ensure that employees comply with processes and policies in a business context [1]. In this paper, we focus on videos from retai...
Lei Ding, Quanfu Fan, Sharath Pankanti
CVPR
2004
IEEE
14 years 11 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
JMM2
2008
124views more  JMM2 2008»
13 years 9 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang