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» Learning Instance-Specific Predictive Models
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CVPR
2012
IEEE
11 years 11 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
ICIP
2009
IEEE
13 years 6 months ago
Adaptive correlation estimation for general Wyner-Ziv video coding
Wyner-Ziv video coding (WZVC) is a new paradigm for video compression with the prediction frames possibly only available at the decoder. It exploits the statistics between the sou...
Xiaopeng Fan, Oscar C. Au, Ngai-Man Cheung
ANLP
2000
109views more  ANLP 2000»
13 years 10 months ago
A Classification Approach to Word Prediction
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
Yair Even-Zohar, Dan Roth
AIED
2007
Springer
14 years 3 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
WWW
2005
ACM
14 years 9 months ago
Towards autonomic web-sites based on learning automata
Autonomics or self-reorganization becomes pertinent for websites serving a large number of users with highly varying workloads. An important component of self-adaptation is to mod...
Pradeep S, Chitra Ramachandran, Srinath Srinivasa