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CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
16 years 1 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
MM
2005
ACM
122views Multimedia» more  MM 2005»
16 years 9 days ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
SISAP
2010
IEEE
259views Data Mining» more  SISAP 2010»
15 years 4 months ago
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
Giuseppe Amato, Fabrizio Falchi
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 12 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
MIE
2008
160views Healthcare» more  MIE 2008»
15 years 8 months ago
Using Medline Queries to Generate Image Retrieval Tasks for Benchmarking
Medical visual information retrieval has been a very active research area over the past ten years as an increasing amount of images is produced digitally and made available in the ...
Henning Müller, Jayashree Kalpathy-Cramer, Wi...