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BILDMED
2003
13 years 6 months ago
An Expectation Maximization-Like Algorithm for Multi-Atlas Multi-Label Segmentation
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
CVPR
2009
IEEE
14 years 11 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
IPMI
2003
Springer
14 years 5 months ago
Expectation Maximization Strategies for Multi-atlas Multi-label Segmentation
It is well-known in the pattern recognition community that the accuracy of classifications obtained by combining decisions made by independent classifiers can be substantially high...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
ICMCS
2000
IEEE
112views Multimedia» more  ICMCS 2000»
13 years 9 months ago
Short-Time Kurtosis of Speech Signals with Application to Co-channel Speech Separation
Recent work into the separation of mixtures of speech signals has shown some success. One particular method is based on the assumption that scalar mixtures of speech signals have ...
Phillip L. De Leon
CVPR
1997
IEEE
13 years 8 months ago
Empirical Bayesian EM-based Motion Segmentation
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
Nuno Vasconcelos, Andrew Lippman