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» Benchmarking Anomaly-Based Detection Systems
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DAC
2008
ACM
14 years 8 months ago
Partial order reduction for scalable testing of systemC TLM designs
A SystemC simulation kernel consists of a deterministic implementation of the scheduler, whose specification is nondeterministic. To leverage testing of a SystemC TLM design, we f...
Sudipta Kundu, Malay K. Ganai, Rajesh Gupta
TCSV
2008
166views more  TCSV 2008»
13 years 7 months ago
A Framework for Evaluating Stereo-Based Pedestrian Detection Techniques
Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been inve...
Philip Kelly, Noel E. O'Connor, Alan F. Smeaton
IJON
2008
186views more  IJON 2008»
13 years 7 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 27 days ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
WWW
2009
ACM
14 years 8 months ago
Link based small sample learning for web spam detection
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
Guanggang Geng, Qiudan Li, Xinchang Zhang