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» Anomaly Detection Using Visualization and Machine Learning
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CORR
2010
Springer
175views Education» more  CORR 2010»
14 years 10 months ago
Detecting Security threats in the Router using Computational Intelligence
Information security is an issue of global concern. As the Internet is delivering great convenience and benefits to the modern society, the rapidly increasing connectivity and acc...
J. Visumathi, K. L. Shunmuganathan
ECAI
2004
Springer
15 years 3 months ago
Attention-Driven Parts-Based Object Detection
Recent studies have argued that natural vision systems perform classification by utilizing different mechanisms depending on the visual input. In this paper we present a hybrid, ...
Ilkka Autio, Jussi T. Lindgren
INFOCOM
2006
IEEE
15 years 4 months ago
MIND: A Distributed Multi-Dimensional Indexing System for Network Diagnosis
— Detecting coordinated attacks on Internet resources requires a distributed network monitoring infrastructure. Such an infrastructure will have two logically distinct elements: ...
Xin Li, Fang Bian, Hui Zhang 0002, Christophe Diot...
JMLR
2010
139views more  JMLR 2010»
14 years 4 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
SIGIR
2005
ACM
15 years 3 months ago
Predicting query difficulty on the web by learning visual clues
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...