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GROUP
2007
ACM
14 years 1 months ago
A metrics framework for evaluating group formation
Many approaches to learning and teaching rely upon students working in groups. So far, many Computer-Supported Group Formation systems have been designed to facilitate the formati...
Asma Ounnas, David E. Millard, Hugh C. Davis
CVPR
2009
IEEE
13 years 7 months ago
Learning IMED via shift-invariant transformation
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
Bing Sun, Jufu Feng, Liwei Wang
CVPR
2008
IEEE
15 years 1 days ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
DEXAW
2008
IEEE
120views Database» more  DEXAW 2008»
14 years 4 months ago
Self-Similarity Metric for Index Pruning in Conceptual Vector Space Models
— One of the critical issues in search engines is the size of search indexes: as the number of documents handled by an engine increases, the search must preserve its efficiency,...
Dario Bonino, Fulvio Corno
CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos