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» Temporal Data Classification Using Linear Classifiers
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AUSAI
2008
Springer
15 years 4 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 3 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
ICCV
2009
IEEE
16 years 7 months ago
Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations
We address the classic problems of detection, segmenta- tion and pose estimation of people in images with a novel definition of a part, a poselet. We postulate two criteria (1) ...
Lubomir Bourdev, Jitendra Malik
ICCV
2003
IEEE
16 years 4 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
CSCW
2012
ACM
13 years 10 months ago
Come meet me at Ulduar: progression raiding in world of warcraft
In spite of decades of research on virtual worlds, our understanding of one popular form of virtual world behavior— raiding—remains limited. Raiding is important because it en...
Jeffrey Bardzell, Jeffrey Nichols, Tyler Pace, Sha...