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ICML
2003
IEEE
14 years 8 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu
KDD
2009
ACM
202views Data Mining» more  KDD 2009»
14 years 8 months ago
Correlated itemset mining in ROC space: a constraint programming approach
Correlated or discriminative pattern mining is concerned with finding the highest scoring patterns w.r.t. a correlation measure (such as information gain). By reinterpreting corre...
Siegfried Nijssen, Tias Guns, Luc De Raedt
ICIP
2008
IEEE
14 years 2 months ago
Image representation by compressed sensing
This paper addresses the image representation problem in visual sensor networks. We propose a new image representation scheme based on compressive sensing (CS) because compressive...
Bing Han, Feng Wu, Dapeng Wu
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
14 years 2 months ago
A bounded uncertainty approach to cooperative localization using relative bearing constraints
— This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...
Camillo J. Taylor, John R. Spletzer