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ICPR
2002
IEEE
16 years 8 months ago
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Yuan (Alan) Qi, Rosalind W. Picard
IPMI
2005
Springer
16 years 7 months ago
Computational Elastography from Standard Ultrasound Image Sequences by Global Trust Region Optimization
Abstract. A new approach is proposed to estimate the spatial distribution of shear modulus of tissues in-vivo. An image sequence is acquired using a standard medical ultrasound sca...
Jan Kybic, Daniel Smutek
ICML
2004
IEEE
16 years 7 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
SIGSOFT
2003
ACM
16 years 7 months ago
Context-sensitive slicing of concurrent programs
Program slicing is a technique to identify statements that may influence the computations at other statements. Precise slicing has been shown to be undecidable for concurrent prog...
Jens Krinke
WWW
2008
ACM
16 years 7 months ago
Collaborative filtering on skewed datasets
Many real life datasets have skewed distributions of events when the probability of observing few events far exceeds the others. In this paper, we observed that in skewed datasets...
Somnath Banerjee, Krishnan Ramanathan