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» Anomaly Detection Using Visualization and Machine Learning
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CLEF
2010
Springer
14 years 11 months ago
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees
Abstract. In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant ...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
IJPRAI
2008
144views more  IJPRAI 2008»
14 years 10 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
JNCA
2007
179views more  JNCA 2007»
14 years 9 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
CCS
2004
ACM
15 years 3 months ago
Web tap: detecting covert web traffic
As network security is a growing concern, system administrators lock down their networks by closing inbound ports and only allowing outbound communication over selected protocols ...
Kevin Borders, Atul Prakash
ICCV
2009
IEEE
16 years 2 months ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth