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» Word Importance Discrimination Using Context Information
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BMCBI
2006
201views more  BMCBI 2006»
14 years 10 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
PAMI
2010
351views more  PAMI 2010»
14 years 8 months ago
Evaluating Color Descriptors for Object and Scene Recognition
—Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for featu...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
CLEF
2009
Springer
14 years 11 months ago
UNIBA-SENSE @ CLEF 2009: Robust WSD Task
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 Ad Hoc Robust-WSD Task. During the participation at the same task of CLEF 2008,...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
NPL
2006
85views more  NPL 2006»
14 years 10 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
DNIS
2005
Springer
155views Database» more  DNIS 2005»
14 years 12 months ago
The Multimedia Semantic Web
It is well known that context plays an important role in the meaning of a work of art. This paper addresses the dynamic context of a collection of linked multimedia documents, of ...
William I. Grosky