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» Study on Feature Selection Algorithm in Topic Tracking
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ECIR
2010
Springer
15 years 15 days ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
KDD
2009
ACM
141views Data Mining» more  KDD 2009»
15 years 11 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
ACCV
2006
Springer
15 years 5 months ago
Attractor-Guided Particle Filtering for Lip Contour Tracking
Abstract. We present a lip contour tracking algorithm using attractorguided particle filtering. Usually it is difficult to robustly track the lip contour because the lip contour i...
Yong-Dian Jian, Wen-Yan Chang, Chu-Song Chen
APGV
2008
ACM
200views Visualization» more  APGV 2008»
15 years 1 months ago
A psychophysical study of fixation behavior in a computer game
Prediction of gaze behavior in gaming environments can be a tremendously useful asset to game designers, enabling them to improve gameplay, selectively increase visual fidelity, a...
Veronica Sundstedt, Efstathios Stavrakis, Michael ...
IPM
2006
151views more  IPM 2006»
14 years 11 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...