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» Estimation and inference in functional mixed-effects models
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BMCBI
2006
137views more  BMCBI 2006»
13 years 5 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
MVA
2010
229views Computer Vision» more  MVA 2010»
13 years 16 days ago
Robust 3D object registration without explicit correspondence using geometric integration
3D vision guided manipulation of components is a key problem of industrial machine vision. In this paper, we focus on the localization and pose estimation of known industrial objec...
Dirk Breitenreicher, Christoph Schnörr
ICT
2004
Springer
194views Communications» more  ICT 2004»
13 years 11 months ago
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
Guilherme De A. Barreto, João Cesar M. Mota...
SDM
2008
SIAM
105views Data Mining» more  SDM 2008»
13 years 7 months ago
Gaussian Process Learning for Cyber-Attack Early Warning
Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
UAI
2000
13 years 7 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping