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» Learning Gaussian processes from multiple tasks
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ICASSP
2009
IEEE
15 years 10 months ago
Fast acoustic computations using graphics processors
In this paper we present a fast method for computing acoustic likelihoods that makes use of a Graphics Processing Unit (GPU). After enabling the GPU acceleration the main processo...
Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui
145
Voted
BMCBI
2006
126views more  BMCBI 2006»
15 years 3 months ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...
107
Voted
BMCBI
2007
91views more  BMCBI 2007»
15 years 3 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
ACML
2009
Springer
15 years 10 months ago
Automatic Choice of Control Measurements
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...
Gayle Leen, David R. Hardoon, Samuel Kaski
ICIP
2007
IEEE
16 years 5 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson