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ICCV
2009
IEEE
16 years 7 months ago
Quantifying Contextual Information for Object Detection
Context is critical for minimising ambiguity in object de- tection. In this work, a novel context modelling framework is proposed without the need of any prior scene segmen- tat...
Wei-Shi Zheng, Shaogang Gong and Tao Xiang
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 8 months ago
Detecting Link Spam Using Temporal Information
How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one majo...
Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Sh...
ESORICS
2006
Springer
15 years 5 months ago
Towards an Information-Theoretic Framework for Analyzing Intrusion Detection Systems
IDS research still needs to strengthen mathematical foundations and theoretic guidelines. In this paper, we build a formal framework, based on information theory, for analyzing and...
Guofei Gu, Prahlad Fogla, David Dagon, Wenke Lee, ...
LREC
2008
107views Education» more  LREC 2008»
15 years 3 months ago
Learning-based Detection of Scientific Terms in Patient Information
In this paper, we investigate the use of a machine-learning based approach to the specific problem of scientific term detection in patient information. Lacking lexical databases w...
Véronique Hoste, Els Lefever, Klaar Vanopst...
MICRO
2006
IEEE
124views Hardware» more  MICRO 2006»
15 years 8 months ago
LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks
Computer security is severely threatened by software vulnerabilities. Prior work shows that information flow tracking (also referred to as taint analysis) is a promising techniqu...
Feng Qin, Cheng Wang, Zhenmin Li, Ho-Seop Kim, Yua...