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NIPS
2004
13 years 10 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
CORR
2006
Springer
113views Education» more  CORR 2006»
13 years 9 months ago
Secure Positioning of Mobile Terminals with Simplex Radio Communication
With the rapid spread of various mobile terminals in our society, the importance of secure positioning is growing for wireless networks in adversarial settings. Recently, several ...
Mikio Fujii
MR
2007
173views Robotics» more  MR 2007»
13 years 8 months ago
A maintenance planning and business case development model for the application of prognostics and health management (PHM) to ele
- This paper presents a model that enables the optimal interpretation of Prognostics and Health Management (PHM) results for electronic systems. In this context, optimal interpreta...
Peter A. Sandborn, Chris Wilkinson
INFSOF
2011
176views more  INFSOF 2011»
13 years 4 months ago
Testing in Service Oriented Architectures with dynamic binding: A mapping study
Context: Service Oriented Architectures (SOA) have emerged as a new paradigm to develop interoperable and highly dynamic applications. Objective: This paper aims to identify the s...
Marcos Palacios, José García-Fanjul,...
ECCV
2006
Springer
14 years 11 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker