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MCS
2002
Springer
14 years 11 months ago
On Combining One-Class Classifiers for Image Database Retrieval
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El...
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 4 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun
ICIP
2002
IEEE
16 years 1 months ago
Exploiting group structure to improve retrieval accuracy and speed in image databases
Most image retrieval systems perform a linear search over the database to find the closest match to a query. However, databases usually exhibit a natural grouping structure into c...
Nuno Vasconcelos
VLDB
2001
ACM
146views Database» more  VLDB 2001»
15 years 11 months ago
Combining multi-visual features for efficient indexing in a large image database
Abstract. The optimized distance-based access methods currently available for multidimensional indexing in multimedia databases have been developed based on two major assumptions: ...
Anne H. H. Ngu, Quan Z. Sheng, Du Q. Huynh, Ron Le...
CIVR
2003
Springer
126views Image Analysis» more  CIVR 2003»
15 years 4 months ago
Learning in Region-Based Image Retrieval
In this paper, several effective learning algorithms using global image representations are adjusted and introduced to region-based image retrieval (RBIR). First, the query point m...
Feng Jing, Mingjing Li, Lei Zhang, HongJiang Zhang...