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CIVR
2006
Springer
131views Image Analysis» more  CIVR 2006»
15 years 3 months ago
A Multi-feature Optimization Approach to Object-Based Image Classification
This paper proposes a novel approach for the construction and use of multi-feature spaces in image classification. The proposed technique combines low-level descriptors and defines...
Qianni Zhang, Ebroul Izquierdo
SIGMOD
2006
ACM
127views Database» more  SIGMOD 2006»
15 years 12 months ago
Efficient reverse k-nearest neighbor search in arbitrary metric spaces
The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, is a generalization of the...
Elke Achtert, Christian Böhm, Peer Kröge...
COLING
2010
14 years 6 months ago
Instance Sense Induction from Attribute Sets
This paper investigates the new problem of automatic sense induction for instance names using automatically extracted attribute sets. Several clustering strategies and data source...
Ricardo Martin-Brualla, Enrique Alfonseca, Marius ...
COLT
1997
Springer
15 years 4 months ago
On-line Learning and the Metrical Task System Problem
We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
Avrim Blum, Carl Burch
CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
15 years 5 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