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NIPS
1998
15 years 9 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
VRML
2003
ACM
16 years 26 days ago
Early experiences with a 3D model search engine
New acquisition and modeling tools make it easier to create 3D models, and affordable and powerful graphics hardware makes it easier to use them. As a result, the number of 3D mo...
Patrick Min, John A. Halderman, Michael M. Kazhdan...
JCP
2007
117views more  JCP 2007»
15 years 7 months ago
Internet Research Support System: An Application for Immediate Feedback in Authentic Internet Research
– A prototype Internet Research Support System is presented based on earlier work on the modeling of online reading behavior and evaluating the reading process and its outcomes. ...
Nasiroh Omar, Colin Higgins, Colin G. Harrison, Di...
TARK
2007
Springer
16 years 1 months ago
Knowledge-based modelling of voting protocols
We contend that reasoning about knowledge is both natural and pragmatic for verification of electronic voting protocols. We present a model in which desirable properties of elect...
A. Baskar, Ramaswamy Ramanujam, S. P. Suresh
PAMI
2007
92views more  PAMI 2007»
15 years 7 months ago
Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores
—This paper presents methods of modeling and predicting face recognition (FR) system performance based on analysis of similarity scores. We define the performance of an FR system...
Peng Wang, Qiang Ji, James L. Wayman