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ICDCS
2007
IEEE
15 years 9 months ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
ICIAR
2004
Springer
15 years 8 months ago
3D Meshes Registration: Application to Statistical Skull Model
Abstract. In the context of computer assist surgical techniques, a new elastic registration method of 3D meshes is presented. In our applications, one mesh is a high density mesh (...
Maxime Berar, Michel Desvignes, Gérard Bail...
DAC
2000
ACM
15 years 7 months ago
An asymptotically constant, linearly bounded methodology for the statistical simulation of analog circuits including component m
Abstract: This paper presents a new statistical methodology to simulate the effect of both inter-die and intra-die variation on the electrical performance of analog integrated circ...
Carlo Guardiani, Sharad Saxena, Patrick McNamara, ...
BMVC
1998
15 years 4 months ago
Benchmarking of Bootstrap Temporal Stereo using Statistical and Physical Scene Modelling
Temporal stereo vision algorithms can offer improved robustness, however, this can only be delivered after several frames of a stereo image sequence have been processed. We presen...
S. Crossley, Neil A. Thacker, N. Luke Seed
NIPS
1994
15 years 4 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...