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» Evaluating algorithms that learn from data streams
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TSMC
2008
192views more  TSMC 2008»
15 years 6 months ago
AIDOA: An Adaptive and Energy-Conserving Indexing Method for On-Demand Data Broadcasting Systems
Since only a modest improvement in battery lifetime is expected in the next few years, energy conservation is raised as a key factor of the design of mobile devices. In view of th...
Jiun-Long Huang
ICCV
2003
IEEE
16 years 8 months ago
Learning a Classification Model for Segmentation
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
Xiaofeng Ren, Jitendra Malik
BMVC
2002
15 years 9 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
EDM
2010
140views Data Mining» more  EDM 2010»
15 years 8 months ago
An Annotations Approach to Peer Tutoring
In this paper we detail a preliminary model for reasoning about annotating learning objects and intelligently showing annotations to users who will benefit from them. Student inter...
John Champaign, Robin Cohen
NIPS
2004
15 years 8 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi