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» Very Large Scale Information Retrieval
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AI
2000
Springer
14 years 1 months ago
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
Abstract. Today’s case based reasoning applications face several challenges. In a typical application, the case bases grow at a very fast rate and their contents become increasin...
Qiang Yang, Jing Wu
SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
14 years 9 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 7 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
WWW
2011
ACM
13 years 4 months ago
Addressing people's information needs directly in a web search result page
Web search engines have historically focused on connecting people with information resources. For example, if a person wanted to know when their flight to Hyderabad was leaving, a...
Lydia B. Chilton, Jaime Teevan
CVPR
2009
IEEE
1695views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
We propose a novel hashing scheme for image retrieval, clustering and automatic object discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image featu...
Ondrej Chum (Czech Technical University), Michal P...