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ICASSP
2011
IEEE
14 years 1 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...
JMLR
2006
105views more  JMLR 2006»
14 years 10 months ago
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
Luca Zanni, Thomas Serafini, Gaetano Zanghirati
IUI
2010
ACM
15 years 6 months ago
A POMDP approach to P300-based brain-computer interfaces
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
Jaeyoung Park, Kee-Eung Kim, Sungho Jo
BMCBI
2004
114views more  BMCBI 2004»
14 years 10 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
BMCBI
2005
92views more  BMCBI 2005»
14 years 10 months ago
FIGENIX: Intelligent automation of genomic annotation: expertise integration in a new software platform
Background: Two of the main objectives of the genomic and post-genomic era are to structurally and functionally annotate genomes which consists of detecting genes' position a...
Philippe Gouret, Vérane Vitiello, Nathalie ...