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DIS
2009
Springer
15 years 10 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
ICML
2010
IEEE
15 years 4 months ago
Conditional Topic Random Fields
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
Jun Zhu, Eric P. Xing
IPPS
2010
IEEE
15 years 1 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
152
Voted
CVPR
2009
IEEE
16 years 11 months ago
Enhanced Pictorial Structures for Precise Eye Localization under Uncontrolled Conditions
In this paper, we present an enhanced Pictorial Struc- ture (PS) model for precise eye localization, a fundamen- tal problem involved in many face processing tasks. PS is a comp...
Xiaoyang Tan (Nanjing University of Aeronautics an...
ICML
2005
IEEE
16 years 4 months ago
2D Conditional Random Fields for Web information extraction
The Web contains an abundance of useful semistructured information about real world objects, and our empirical study shows that strong sequence characteristics exist for Web infor...
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Y...