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ICASSP
2009
IEEE
14 years 1 days ago
A semi-supervised learning approach to online audio background detection
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predi...
Selina Chu, Shrikanth S. Narayanan, C.-C. Jay Kuo
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
13 years 11 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
ICASSP
2011
IEEE
12 years 9 months ago
A region based approach to background modeling in a wavelet multi-resolution framework
In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing ...
Ainhoa Mendizabal, Luis Salgado
BMCBI
2007
219views more  BMCBI 2007»
13 years 5 months ago
MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
Background: Integration of multiple results from Quantitative Trait Loci (QTL) studies is a key point to understand the genetic determinism of complex traits. Up to now many effor...
Jean-Baptiste Veyrieras, Bruno Goffinet, Alain Cha...
SAFECOMP
1998
Springer
13 years 9 months ago
An Agenda for Specifying Software Components with Complex Data Models
Abstract. We present a method to specify software for a special kind of safetycritical embedded systems, where sensors deliver low-level values that must be abstracted and pre-proc...
Kirsten Winter, Thomas Santen, Maritta Heisel