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» Application of Level Set Methods in Computer Vision
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ICPR
2010
IEEE
15 years 5 months ago
Incremental Training of Multiclass Support Vector Machines
We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
Symeon Nikitidis, Nikos Nikolaidis, Ioannis Pitas
BMCBI
2007
145views more  BMCBI 2007»
15 years 7 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...
TKDE
1998
139views more  TKDE 1998»
15 years 6 months ago
Distributed Optimistic Concurrency Control Methods for High-Performance Transaction Processing
—There is an ever-increasing demand for more complex transactions and higher throughputs in transaction processing systems leading to higher degrees of transaction concurrency an...
Alexander Thomasian
ICPR
2008
IEEE
16 years 8 months ago
A probabilistic approach for tracking fibers
This paper describes a combination of an automated image acquisition method and a probabilistic tracking method for analysis of the 3D microstructure of a sheet of paper. A protot...
Horst Bischof, Johannes Kritzinger, Michael Donose...
CVPR
2009
IEEE
1094views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Uncalibrated Synthetic Aperture Photography for Defocus Control
Exaggerated defocus cannot be achieved with an ordinary compact digital camera because of its tiny sensor size, so taking pictures that draw the attention of a viewer to the subjec...
Natsumi Kusumoto, Shinsaku Hiura, Kosuke Sato