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» Word Importance Discrimination Using Context Information
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BMCBI
2006
201views more  BMCBI 2006»
15 years 6 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»
15 years 4 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
15 years 7 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»
15 years 6 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»
15 years 8 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