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» Anomaly Detection Using Visualization and Machine Learning
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DATAMINE
2006
139views more  DATAMINE 2006»
14 years 10 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
ICALT
2003
IEEE
15 years 3 months ago
Visualization of the Learning Process Using Concept Mapping
Visualization of the learning processes is a powerful way to help students to understand their curricula and the structure behind them. CME2 is a prototype software of this favour...
Jussi A. Nuutinen, Erkki Sutinen
ICCV
2009
IEEE
16 years 2 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
ISPEC
2005
Springer
15 years 3 months ago
An Email Worm Vaccine Architecture
We present an architecture for detecting “zero-day” worms and viruses in incoming email. Our main idea is to intercept every incoming message, prescan it for potentially danger...
Stelios Sidiroglou, John Ioannidis, Angelos D. Ker...
ICPR
2008
IEEE
15 years 4 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen