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» UFRGS@CLEF2009: Retrieval by Numbers
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SIGIR
2002
ACM
15 years 6 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
SAC
2008
ACM
15 years 5 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
ICCV
2009
IEEE
16 years 11 months ago
Fast and Robust Earth Mover's Distances
We present a new algorithm for a robust family of Earth Mover’s Distances - EMDs with thresholded ground distances. The algorithm transforms the flow-network of the EMD so that t...
Ofir Pele , Michael Werman
CVPR
2007
IEEE
16 years 8 months ago
City-Scale Location Recognition
We look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3...
Grant Schindler, Matthew Brown, Richard Szeliski
ICIP
2002
IEEE
16 years 8 months ago
TAST-Trademark Application Assistant
In this paper, we introduce a novel Trademark Application Assistant (TAST) that aims to speed up the process of a successful trademark application. The core of TAST is a web-brows...
Paul Wing Hing Kwan, Kazuo Toraichi, Keisuke Kamey...