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» Robust Feature Selection Algorithms
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ICASSP
2010
IEEE
15 years 6 months ago
Boosted binary features for noise-robust speaker verification
The standard approach to speaker verification is to extract cepstral features from the speech spectrum and model them by generative or discriminative techniques. We propose a nov...
Anindya Roy, Mathew Magimai-Doss, Sébastien...
124
Voted
ICCAD
2004
IEEE
83views Hardware» more  ICCAD 2004»
16 years 3 months ago
Custom-optimized multiplierless implementations of DSP algorithms
Linear DSP kernels such as transforms and filters are comprised exclusively of additions and multiplications by constants. These multiplications may be realized as networks of ad...
Markus Püschel, Adam C. Zelinski, James C. Ho...
207
Voted
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
16 years 27 days ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart
CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
185
Voted
CEC
2010
IEEE
15 years 7 months ago
Evolving cascades of voting feature detectors for vehicle detection in satellite imagery
We propose an evolutionary method for detection of vehicles in satellite imagery which involves a large number of simple elementary features and multiple detectors trained by genet...
Krzysztof Krawiec, Bartosz Kukawka, Tomasz Macieje...