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ICASSP
2011
IEEE
12 years 11 months ago
Multi-stream spectro-temporal and cepstral features based on data-driven hierarchical phoneme clusters
We propose a method to enhance multi-stream Gabor and MFCC features using data-driven hierarchical phoneme clusters to yield more discriminating posteriors. We take into account d...
Shang-wen Li, Liang-Che Sun, Lin-Shan Lee
22
Voted
IDA
2006
Springer
13 years 7 months ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
WACV
2007
IEEE
14 years 2 months ago
Nonlinear Mean Shift for Robust Pose Estimation
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
Raghav Subbarao, Yakup Genc, Peter Meer
CVPR
2006
IEEE
14 years 9 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
CEC
2008
IEEE
14 years 2 months ago
An approach to intrusion detection by means of idiotypic networks paradigm
Abstract— In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDIS), that aims at dealing with large scale network attacks feat...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...