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SAC
2010
ACM
13 years 2 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
CVPR
2011
IEEE
12 years 11 months ago
Compact Hashing with Joint Optimization of Search Accuracy and Time
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
Junfeng He, Regunathan Radhakrishnan, Shih-Fu Chan...
ICASSP
2011
IEEE
12 years 11 months ago
Time-frequency segmentation of bird song in noisy acoustic environments
Recent work in machine learning considers the problem of identifying bird species from an audio recording. Most methods require segmentation to isolate each syllable of bird call ...
Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli...
ICASSP
2011
IEEE
12 years 11 months ago
Variability regularization in large-margin classification
This paper introduces a novel regularization strategy to address the generalization issues for large-margin classifiers from the Empirical Risk Minimization (ERM) perspective. Fi...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
ISBI
2011
IEEE
12 years 11 months ago
Fully automatic segmentation of wrist bones for arthritis patients
A reliable method to evaluate and follow the course of arthritis is given by examination of the carpal bones within the wrist joint. Humans typically have eight such small angular...
Martin Koch, Alexander G. Schwing, Dorin Comaniciu...