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PRL
2000
182views more  PRL 2000»
13 years 8 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
IJRR
2002
137views more  IJRR 2002»
13 years 8 months ago
Acquisition of Elastic Models for Interactive Simulation
We present method and implementation to acquire deformable models of elastic objects. The method is based on the Green's functions matrix representation of an elastic solid. ...
Jochen Lang, Dinesh K. Pai, Robert J. Woodham
TJS
2002
83views more  TJS 2002»
13 years 8 months ago
An I/O-Conscious Tiling Strategy for Disk-Resident Data Sets
This paper describes a tiling technique that can be used by application programmers and optimizing compilers to obtain I/O-efficient versions of regular scientific loop nests. Due ...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
TVCG
2002
156views more  TVCG 2002»
13 years 8 months ago
A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-Varying Data
We present a scalable volume rendering technique that exploits lossy compression and low-cost commodity hardware to permit highly interactive exploration of time-varying scalar vol...
Eric B. Lum, Kwan-Liu Ma, John Clyne
ML
2007
ACM
153views Machine Learning» more  ML 2007»
13 years 8 months ago
Multi-Class Learning by Smoothed Boosting
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
Rong Jin, Jian Zhang 0003