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» Anomaly Detection Using Visualization and Machine Learning
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ICCS
2007
Springer
15 years 4 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
15 years 10 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
ISBI
2009
IEEE
15 years 4 months ago
Quantitative Comparison of Spot Detection Methods in Live-Cell Fluorescence Microscopy Imaging
In live-cell fluorescence microscopy imaging, quantitative analysis of biological image data generally involves the detection of many subresolution objects, appearing as diffract...
Ihor Smal, Marco Loog, Wiro J. Niessen, Erik H. W....
MM
2005
ACM
112views Multimedia» more  MM 2005»
15 years 3 months ago
MediaMill: exploring news video archives based on learned semantics
In this technical demonstration we showcase the MediaMill system. A search engine that facilitates access to news video archives at a semantic level. The core of the system is an ...
Cees Snoek, Marcel Worring, Jan van Gemert, Jan-Ma...
ESSOS
2010
Springer
15 years 6 months ago
Idea: Opcode-Sequence-Based Malware Detection
Malware is every malicious code that has the potential to harm any computer or network. The amount of malware is increasing faster every year and poses a serious security threat. H...
Igor Santos, Felix Brezo, Javier Nieves, Yoseba K....