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» Mining Very Large Databases
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125
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ICASSP
2009
IEEE
15 years 10 months ago
LSH banding for large-scale retrieval with memory and recall constraints
Locality Sensitive Hashing (LSH) is widely used for efficient retrieval of candidate matches in very large audio, video, and image systems. However, extremely large reference dat...
Michele Covell, Shumeet Baluja
106
Voted
SMI
2007
IEEE
129views Image Analysis» more  SMI 2007»
15 years 10 months ago
Automatic 2D Shape Orientation by Example
As large shape repositories become more common, the problem of automatically generating good views of shapes has recently gained prominence. However, very few of the proposed meth...
Waqar Saleem, Danyi Wang, Alexander G. Belyaev, Ha...
156
Voted
BMCBI
2010
193views more  BMCBI 2010»
14 years 10 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
256
Voted
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
16 years 5 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han
133
Voted
WWW
2008
ACM
16 years 4 months ago
Spatial variation in search engine queries
Local aspects of Web search -- associating Web content and queries with geography -- is a topic of growing interest. However, the underlying question of how spatial variation is m...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar, Jasm...