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» A Support Vector Clustering Method
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148
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ICPR
2010
IEEE
15 years 2 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper
BIOSIG
2010
143views Biometrics» more  BIOSIG 2010»
15 years 1 months ago
Fingerprint Recognition with Cellular Partitioning and Co-Sinusoidal Triplets
: In this fingerprint verification approach, a fingerprint image is divided into equally sized cells and the pattern is represented by a substitute resulting in a feature vector of...
Jan Hirzel, Daniel Hartung, Christoph Busch
120
Voted
ICMLA
2010
15 years 1 months ago
An All-at-once Unimodal SVM Approach for Ordinal Classification
Abstract--Support vector machines (SVMs) were initially proposed to solve problems with two classes. Despite the myriad of schemes for multiclassification with SVMs proposed since ...
Joaquim F. Pinto da Costa, Ricardo Sousa, Jaime S....
IJDMB
2011
85views more  IJDMB 2011»
14 years 10 months ago
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...
Tamara Polajnar, Simon Rogers, Mark Girolami
101
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ICASSP
2011
IEEE
14 years 7 months ago
An SVM based classification approach to speech separation
Monaural speech separation is a very challenging task. CASAbased systems utilize acoustic features to produce a time-frequency (T-F) mask. In this study, we propose a classificat...
Kun Han, DeLiang Wang