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EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 1 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
14 years 1 months ago
Moving Object Segmentation Using Optical Flow and Depth Information
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
CORR
2007
Springer
65views Education» more  CORR 2007»
13 years 8 months ago
Text Line Segmentation of Historical Documents: a Survey
There is a huge amount of historical documents in libraries and in various National Archives that have not been exploited electronically. Although automatic reading of complete pa...
Laurence Likforman-Sulem, Abderrazak Zahour, Bruno...
IDEAL
2009
Springer
13 years 6 months ago
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data
In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of ...
Iñigo Barandiarán, Iván Mac&i...
ISLPED
1999
ACM
143views Hardware» more  ISLPED 1999»
14 years 25 days ago
Reducing power in superscalar processor caches using subbanking, multiple line buffers and bit-line segmentation
Modern microprocessors employ one or two levels of on-chip cachesto bridge the burgeoning speeddisparities between the processor and the RAM. These SRAM caches are a major source ...
Kanad Ghose, Milind B. Kamble