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» Learning a Distance Metric from Relative Comparisons
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BMCBI
2006
173views more  BMCBI 2006»
13 years 7 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
SPATIALCOGNITION
1998
Springer
13 years 12 months ago
Judging Spatial Relations from Memory
Representations and processes involved in judgments of spatial relations after route learning are investigated. The main objective is to decide which relations are explicitly repre...
Rainer Rothkegel, Karl Friedrich Wender, Sabine Sc...
LEGE
2003
102views Education» more  LEGE 2003»
13 years 9 months ago
Evolving from a Traditional Distance Learning Model to e-Learning
This paper presents experiences from the course of Informatics at the Hellenic Open University. Problems faced and lessons learned are presented relating to the
Michalis Nik Xenos, Athanassios N. Skodras
CVPR
2008
IEEE
14 years 9 months ago
Coherent image annotation by learning semantic distance
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong,...
CVPR
2006
IEEE
14 years 9 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun