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» Propagation Redundancy in Redundant Modelling
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CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
14 years 2 months ago
Motor planning as an optimization of command representation
— A fundamental problem in the field of motor neuroscience is to understand how our brain generates appropriate motor commands for precise movements effortlessly. The problem se...
Shiro Ikeda, Yutaka Sakaguchi
ICASSP
2010
IEEE
13 years 9 months ago
Multiple Selection Approximation for improved spatio-temporal prediction in video coding
In this contribution, a novel spatio-temporal prediction algorithm for video coding is introduced. This algorithm exploits temporal as well as spatial redundancies for effectively...
Jürgen Seiler, André Kaup
JDCTA
2008
102views more  JDCTA 2008»
13 years 9 months ago
Human Factors and Design Issues in Multimodal (Speech/Gesture) Interface
Multimodal interfaces are the emerging technology that offers expressive, transparent, efficient, robust, and mobile human-computer interaction. In this paper, we described the sp...
C. J. Lim, Younghwan Pan, Jane Lee
ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 9 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
JMLR
2010
115views more  JMLR 2010»
13 years 4 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri