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» Font retrieval on a large scale: An experimental study
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MIR
2005
ACM
133views Multimedia» more  MIR 2005»
14 years 3 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
ECCV
2010
Springer
14 years 2 months ago
Learning a Fine Vocabulary
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...
BMCBI
2008
78views more  BMCBI 2008»
13 years 10 months ago
Genome Environment Browser (GEB): a dynamic browser for visualising high-throughput experimental data in the context of genome f
Background: There is accumulating evidence that the milieu of repeat elements and other nongenic sequence features at a given chromosomal locus, here defined as the genome environ...
Derek Huntley, Y. Amy Tang, Tatyana B. Nesterova, ...
SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
14 years 7 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
SIGIR
2008
ACM
13 years 10 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen