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CVPR
2010
IEEE
15 years 10 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
109
Voted
ICIP
2006
IEEE
16 years 3 months ago
Rate-Distortion Optimal Video Transport Over IP with Bit Errors
In this paper we propose a method for video delivery over bit error channels. In particular, we propose a rate distortion optimal method for slicing and unequal error protection (...
Oztan Harmanci, A. Murat Tekalp
PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
15 years 8 days ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
111
Voted
IMAGING
2003
15 years 3 months ago
Reproducing 3D Prints on Monitor by Relative-Glossiness Matching Technique
For over 3 decades, computer graphics technology has been developed to simulate physically accurate image of real scene. Meanwhile, useful tone mapping methods have been developed...
Toru Ishi, Norimichi Tsumura, Masami Shishikura, Y...
MVA
2007
155views Computer Vision» more  MVA 2007»
15 years 3 months ago
Pre-processing Algorithms on Digital Mammograms
Mammography is the best method for early mass detection. In order to limit the search for abnormalities by Computer Aided Diagnosis systems to the region of the breast without und...
Hengameh Mirzaalian, Mohammad Reza Ahmadzadeh, Sae...