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IJCAI
2007
15 years 4 months ago
A Subspace Kernel for Nonlinear Feature Extraction
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Mingrui Wu, Jason D. R. Farquhar
146
Voted
ISM
2008
IEEE
150views Multimedia» more  ISM 2008»
15 years 9 months ago
Combining Global with Local Texture Information for Image Retrieval Applications
This paper proposes a new texture descriptor to guide the search and retrieval in image databases. It extracts rich information from global and local primitives of textured images...
Javier A. Montoya-Zegarra, Jan Beeck, Neucimar Jer...
ECOI
2010
117views more  ECOI 2010»
15 years 3 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
ISI
2006
Springer
15 years 3 months ago
Strategic Intelligence Analysis: From Information Processing to Meaning-Making
Strategic intelligence involves the efforts to understand the "Big Picture" emerging from data sources. Concerning textual data, this process involves the extraction of m...
Yair Neuman, Liran Elihay, Meni Adler, Yoav Goldbe...
CIKM
2009
Springer
15 years 10 months ago
The impact of document structure on keyphrase extraction
Keyphrases are short phrases that reflect the main topic of a document. Because manually annotating documents with keyphrases is a time-consuming process, several automatic appro...
Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten...