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IJCNN
2006
IEEE
16 years 16 days ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva
ICASSP
2009
IEEE
15 years 10 months ago
Chirp rate estimation of speech based on a time-varying quasi-harmonic model
The speech signal is usually considered as stationary during short analysis time intervals. Though this assumption may be sufficient in some applications, it is not valid for high...
Yannis Pantazis, Olivier Rosec, Yannis Stylianou
AICOM
2005
91views more  AICOM 2005»
15 years 6 months ago
Multiagent systems for cardiac pacing simulation and control
Abstract. Simulating and controlling physiological phenomena are complex tasks to tackle. This is due to the fact that physiological processes are usually described by a set of par...
Francesco Amigoni, Alessandro Beda, Nicola Gatti
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 3 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
CVPR
2008
IEEE
15 years 8 months ago
Adaptive region intensity based rigid ultrasound and CT image registration
Rigid registration of intraoperative ultrasound (US) and CT is an important technique to provide real-time guidance for preoperative images and models. Due to the speckle noise an...
Zhijun Zhang