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...
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...
: 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
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...
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...