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» Frame domain signal processing: Framework and applications
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NIPS
1998
15 years 7 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
EDBT
2010
ACM
156views Database» more  EDBT 2010»
15 years 9 months ago
Pattern detector: fast detection of suspicious stream patterns for immediate reaction
Detecting emerging problems in information and manufacturing systems is the goal of monitoring tools. Good and timely detection of problematic conditions from measured indicators ...
Ira Assent, Hardy Kremer, Stephan Günnemann, ...
ICASSP
2010
IEEE
15 years 6 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon
ICASSP
2011
IEEE
14 years 9 months ago
Seismic waves estimation and wave field decomposition with factor graphs
Physical wave fields are often described by means of a vector field. Advances in sensor technology enable us to collect an increasing number of measurement at the same location ...
Stefano Maranò, Christoph Reller, Donat Fah...
ICASSP
2009
IEEE
16 years 26 days ago
Design of oversampled DFT modulated filter banks optimized for acoustic echo cancellation
This paper describes a method for designing oversampled DFT filter banks (FB) optimized for subband acoustic echo cancellation (AEC). For this application, the design requirements...
Qin Li, Wei-Ge Chen, Chao He, Henrique S. Malvar