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PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
15 years 4 months 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
CVPR
2004
IEEE
16 years 7 months ago
Probabilistic Identity Characterization for Face Recognition
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...
Shaohua Kevin Zhou, Rama Chellappa
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 11 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ICMCS
2006
IEEE
86views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Robust Speaker Recognition using SNR-Aware Subspace-Based Enhancement and Probabilistic SVMs
In this paper, we present a robust text-independent speaker recognition system. The proposed system mainly includes an SNR-aware subspace-based enhancement technique and probabili...
Jia-Ching Wang, Jhing-Fa Wang, Wai-He Kuok, Hsiao ...
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
15 years 11 months ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...