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IGARSS
2010
13 years 5 months ago
Recent developments in sparse hyperspectral unmixing
This paper explores the applicability of new sparse algorithms to perform spectral unmixing of hyperspectral images using available spectral libraries instead of resorting to well...
Marian-Daniel Iordache, Antonio J. Plaza, Jos&eacu...
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
13 years 8 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
14 years 7 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
DAS
2008
Springer
13 years 9 months ago
Named Entity Recognition by Neural Sliding Window
Named Entity Recognition (NER) is an important subtask of document processing such as Information Extraction. This paper describes a NER algorithm which uses a Multi-Layer Percept...
Ignazio Gallo, Elisabetta Binaghi, Moreno Carullo,...
WEBNET
2000
13 years 8 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...