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» Discrete Mixture Models for Unsupervised Image Segmentation
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ICIP
2006
IEEE
14 years 10 months ago
Automatic Skin Pixel Selection and Skin Color Classification
Copyright 2005 IEEE. Published in the 2006 International Conference on Image Processing (ICIP-2006), October 8-11, 2006, Atlanta, Georgia. Personal use of this material is permitt...
Sangho Yoon, Michael Harville, H. Harlyn Baker, Ni...
ICIP
2007
IEEE
14 years 10 months ago
A Statistical Approach for Intensity Loss Compensation of Confocal Microscopy Images
In this paper a probabilistic technique for compensation of intensity loss in the confocal microscopy images is presented. Confocal microscopy images are modeled as a mixture of t...
Sowmya Gopinath, Ninad Thakoor, Jean Gao, Kate Lub...
NIPS
2008
13 years 10 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
PAMI
2010
222views more  PAMI 2010»
13 years 7 months ago
Minimal Surfaces Extend Shortest Path Segmentation Methods to 3D
—Shortest paths have been used to segment object boundaries with both continuous and discrete image models. Although these techniques are well defined in 2D, the character of the...
Leo Grady
IJCV
2011
264views more  IJCV 2011»
13 years 4 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman