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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 4 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
133
Voted
VLDB
2002
ACM
91views Database» more  VLDB 2002»
15 years 3 months ago
Parametric Query Optimization for Linear and Piecewise Linear Cost Functions
The cost of a query plan depends on many parameters, such as predicate selectivities and available memory, whose values may not be known at optimization time. Parametric query opt...
Arvind Hulgeri, S. Sudarshan
117
Voted
ICIP
2010
IEEE
15 years 1 months ago
Resolving distortion between linear and area sensors for forensic print inspection
: Resolving distortion between linear and area sensors for forensic print inspection Stephen B. Pollard, Guy B. Adams, Steven J. Simske HP Laboratories HPL-2010-172 Security print...
Stephen B. Pollard, Guy B. Adams, Steven J. Simske
ICDAR
2003
IEEE
15 years 9 months ago
Text Selection by Structured Light Marking for Hand-held Cameras
We describe a method to enable the selection of specific text regions with a hand-held camera by means of projecting a structured light pointer on the document. The user indicates...
Eve Bertucci, Maurizio Pilu, Majid Mirmehdi
MVA
1998
149views Computer Vision» more  MVA 1998»
15 years 5 months ago
Auto-Calibration of a Rotating and Zooming Camera
We propose a method to calibrate a rotating and zooming camera without 3D pattern, where the internal parameters change frame by frame. First, we show that the calibration is uniq...
Yongduek Seo, Ki-Sang Hong