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ICPR
2008
IEEE
16 years 6 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
ETFA
2008
IEEE
15 years 11 months ago
Functional safety and system security in automation systems - a life cycle model
Industrial and building automation systems are more and more important in industry and buildings. New services and novel fields of application call for dependable systems. Two ver...
Thomas Novak, Albert Treytl
EDOC
2006
IEEE
15 years 11 months ago
Business Continuity Model. Regeneration System for Manufacturing Components
At present, with the expansion of information technologies at the industry, it is vital to implant proactive, self-managed systems that ensure continuous operation and, therefore,...
Diego Marcos-Jorquera, Francisco Maciá P&ea...
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
15 years 10 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
KR
2004
Springer
15 years 10 months ago
Inferential Complexity Control for Model-Based Abduction
We describe a technique for speeding up inference for model-based abduction tasks that trades off inference time and/or space for the fraction of queries correctly answered. We co...
Gregory M. Provan