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ICASSP
2008
IEEE
15 years 4 months ago
A novel a priori SNR estimation approach based on selective cepstro-temporal smoothing
While state-of-the-art approaches obtain an estimate of the a priori SNR by adaptively smoothing its maximum likelihood estimate in the frequency domain, we selectively smooth the...
Colin Breithaupt, Timo Gerkmann, Rainer Martin
DEXA
2007
Springer
115views Database» more  DEXA 2007»
15 years 4 months ago
Ontology Modularization for Knowledge Selection: Experiments and Evaluations
Problems with large monolithical ontologies in terms of reusability, scalability and maintenance have lead to an increasing interest in modularization techniques for ontologies. Cu...
Mathieu d'Aquin, Anne Schlicht, Heiner Stuckenschm...
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
WSC
2008
15 years 10 days ago
The knowledge-gradient stopping rule for ranking and selection
We consider the ranking and selection of normal means in a fully sequential Bayesian context. By considering the sampling and stopping problems jointly rather than separately, we ...
Peter Frazier, Warren B. Powell
RAS
2007
113views more  RAS 2007»
14 years 9 months ago
Visual novelty detection with automatic scale selection
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
Hugo Vieira Neto, Ulrich Nehmzow