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» On learning with dissimilarity functions
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WSCG
2003
185views more  WSCG 2003»
13 years 10 months ago
Complex 3D Feature Registration Using a Marching Template
The registration of 3D form features is essential to the supporting of reverse shape design processes. Extracting an editable shape feature from unordered data points is notorious...
Joris S. M. Vergeest, Sander Spanjaard, Chensheng ...
PRL
2007
146views more  PRL 2007»
13 years 8 months ago
Neighbor number, valley seeking and clustering
This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized ...
Chaolin Zhang, Xuegong Zhang, Michael Q. Zhang, Ya...
TOH
2010
74views more  TOH 2010»
13 years 7 months ago
Vibrotactile Feedback for Information Delivery in the Vehicle
—As technology advances, more functions have been, and continue to be added to the vehicle, resulting in increased needs for improved user interfaces. In this paper, we investiga...
Jonghyun Ryu, Jaemin Chun, Gunhyuk Park, Seungmoon...
JMLR
2010
147views more  JMLR 2010»
13 years 4 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
ICALT
2010
IEEE
13 years 7 months ago
Modelling Affect in Learning Environments - Motivation and Methods
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...
Shazia Afzal, Peter Robinson