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ECIR
2004
Springer
13 years 9 months ago
Identification of Relevant and Novel Sentences Using Reference Corpus
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...
Hsin-Hsi Chen, Ming-Feng Tsai, Ming-Hung Hsu
INFORMS
2010
177views more  INFORMS 2010»
13 years 6 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
CORR
2002
Springer
99views Education» more  CORR 2002»
13 years 7 months ago
The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
Peter D. Turney
FGR
2008
IEEE
152views Biometrics» more  FGR 2008»
14 years 2 months ago
Facial feature detection with optimal pixel reduction SVM
Automatic facial feature localization has been a longstanding challenge in the field of computer vision for several decades. This can be explained by the large variation a face i...
Minh Hoai Nguyen, Joan Perez, Fernando De la Torre
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Musical Signal Type Discrimination based on Large Open Feature Sets
Automatic discrimination of musical signal types as speech, singing, music, genres or drumbeats within audio streams is of great importance e.g. for radio broadcast stream segment...
Björn Schuller, Frank Wallhoff, Dejan Arsic, ...