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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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ICASSP
2008
IEEE
15 years 6 months ago
Automatic Flamingo detection using a multiple birth and death process
Here we present a new approach to automatically detect and count breeding Greater Flamingos (Phoenicopterus Roseus) on aerial photographsof their colonies. We consider a stochasti...
Stig Descamps, Xavier Descombes, Arnaud Bechet, Jo...
ICPR
2002
IEEE
16 years 23 days ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
SIGIR
2005
ACM
15 years 5 months ago
Title extraction from bodies of HTML documents and its application to web page retrieval
This paper is concerned with automatic extraction of titles from the bodies of HTML documents. Titles of HTML documents should be correctly defined in the title fields; however, i...
Yunhua Hu, Guomao Xin, Ruihua Song, Guoping Hu, Sh...
ICASSP
2011
IEEE
14 years 3 months ago
Automatic identification of speaker role and agreement/disagreement in broadcast conversation
We present supervised approaches for detecting speaker roles and agreement/disagreement between speakers in broadcast conversation shows in three languages: English, Arabic, and M...
Wen Wang, Sibel Yaman, Kristin Precoda, Colleen Ri...
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman