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JMLR
2012
11 years 11 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
ACSC
2009
IEEE
14 years 3 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 10 months ago
(Un)Reliability of video concept detection
Great effort has been made to improve video concept detection and continuous progress has been reported. With the current evaluation method being confined to carefully annotated d...
Jun Yang 0003, Alexander G. Hauptmann
CE
2008
91views more  CE 2008»
13 years 9 months ago
Mining e-Learning domain concept map from academic articles
Recent researches have demonstrated the importance of concept map and its versatile applications especially in e-Learning. For example, while designing adaptive learning materials...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Hong-Jhe ...
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
14 years 2 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein