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» IT alignment: what have we learned
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CVPR
2008
IEEE
14 years 9 months ago
Learning patch correspondences for improved viewpoint invariant face recognition
Variation due to viewpoint is one of the key challenges that stand in the way of a complete solution to the face recognition problem. It is easy to note that local regions of the ...
Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen
ASUNAM
2011
IEEE
12 years 7 months ago
SCENE: Structural Conversation Evolution NEtwork
—It’s not just what you say, but it is how you say it. To date, the majority of the Instant Message (IM) analysis and research has focused on the content of the conversation.Th...
Marina Danilevsky, Joshua M. Hailpern, Jiawei Han
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
JETAI
2010
56views more  JETAI 2010»
13 years 6 months ago
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
Chris Drummond, Nathalie Japkowicz
ECCV
2002
Springer
14 years 9 months ago
Dynamic Trees: Learning to Model Outdoor Scenes
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...
Nicholas J. Adams, Christopher K. I. Williams