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101
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
14 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
SIGIR
2005
ACM
15 years 3 months ago
Orthogonal locality preserving indexing
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He
ASPLOS
2010
ACM
14 years 8 months ago
Best-effort semantic document search on GPUs
Semantic indexing is a popular technique used to access and organize large amounts of unstructured text data. We describe an optimized implementation of semantic indexing and docu...
Surendra Byna, Jiayuan Meng, Anand Raghunathan, Sr...
MMSEC
2006
ACM
160views Multimedia» more  MMSEC 2006»
15 years 3 months ago
Extraction in software watermarking
The widespread use of the Internet makes software piracy and unauthorized modification easier and more frequent. Among the many techniques developed for protecting software copyr...
William Zhu, Clark D. Thomborson
98
Voted
SIGIR
2009
ACM
15 years 4 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...