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ICANN
2010
Springer
15 years 5 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
NN
2007
Springer
106views Neural Networks» more  NN 2007»
15 years 3 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
143
Voted
AIPR
2003
IEEE
15 years 7 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
USS
2010
15 years 2 months ago
Building a Dynamic Reputation System for DNS
The Domain Name System (DNS) is an essential protocol used by both legitimate Internet applications and cyber attacks. For example, botnets rely on DNS to support agile command an...
Manos Antonakakis, Roberto Perdisci, David Dagon, ...
RAID
2007
Springer
15 years 10 months ago
Vortex: Enabling Cooperative Selective Wormholing for Network Security Systems
We present a novel approach to remote traffic aggregation for Network Intrusion Detection Systems (NIDS) called Cooperative Selective Wormholing (CSW). Our approach works by select...
John R. Lange, Peter A. Dinda, Fabián E. Bu...