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» On the Learnability of Vector Spaces
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CSDA
2007
105views more  CSDA 2007»
14 years 9 months ago
Model selection for support vector machines via uniform design
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
TOG
2008
180views more  TOG 2008»
14 years 9 months ago
Diffusion curves: a vector representation for smooth-shaded images
We describe a new vector-based primitive for creating smoothshaded images, called the diffusion curve. A diffusion curve partitions the space through which it is drawn, defining d...
Alexandrina Orzan, Adrien Bousseau, Holger Winnem&...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 4 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...
ICMCS
2010
IEEE
194views Multimedia» more  ICMCS 2010»
14 years 10 months ago
Speech emotion estimation in 3D space
Speech processing is an important aspect of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, nu...
Dongrui Wu, Thomas D. Parsons, Emily Mower, Shrika...
ACL
2008
14 years 11 months ago
Vector-based Models of Semantic Composition
This paper proposes a framework for representing the meaning of phrases and sentences in vector space. Central to our approach is vector composition which we operationalize in ter...
Jeff Mitchell, Mirella Lapata