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» Arguing from Experience to Classifying Noisy Data
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IROS
2008
IEEE
243views Robotics» more  IROS 2008»
14 years 1 months ago
Fast plane detection and polygonalization in noisy 3D range images
— A very fast but nevertheless accurate approach for surface extraction from noisy 3D point clouds is presented. It consists of two parts, namely a plane fitting and a polygonal...
Jann Poppinga, Narunas Vaskevicius, Andreas Birk 0...
ICIAP
2005
ACM
14 years 7 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
ICCV
2001
IEEE
14 years 9 months ago
Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...
Tom Drummond, Roberto Cipolla
ACSC
2006
IEEE
14 years 1 months ago
On compensating the Mel-frequency cepstral coefficients for noisy speech recognition
This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution...
Eric H. C. Choi