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PR
2008
104views more  PR 2008»
14 years 10 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
INFORMATICALT
2008
122views more  INFORMATICALT 2008»
14 years 9 months ago
Modeling Phone Duration of Lithuanian by Classification and Regression Trees, using Very Large Speech Corpus
Classification and regression tree approach was used in this research to model phone duration of Lithuanian. 300 thousand samples of vowels and 400 thousand samples of consonants e...
Giedrius Norkevicius, Gailius Raskinis
ICCV
2005
IEEE
15 years 12 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICIP
2009
IEEE
15 years 11 months ago
Gender Classification In Uncontrolled Settings Using Additive Logistic Models
Many previous studies have investigated gender classification in well-lit frontal images. In this paper we consider images where the pose, expression and lighting are relatively u...
BMCBI
2006
118views more  BMCBI 2006»
14 years 10 months ago
A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images
Background: Knowledge of the subcellular location of a protein is critical to understanding how that protein works in a cell. This location is frequently determined by the interpr...
Shann-Ching Chen, Robert F. Murphy