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» Multiple Kernels for Object Detection
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ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 3 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
14 years 22 days ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
IPMI
2005
Springer
14 years 9 months ago
Unified Statistical Approach to Cortical Thickness Analysis
This paper presents a unified image processing and analysis framework for cortical thickness in characterizing a clinical population. The emphasis is placed on the development of d...
Moo K. Chung, Steve Robbins, Alan C. Evans
ICIP
2006
IEEE
14 years 10 months ago
Multichannel Sampling of Parametric Signals with a Successive Approximation Property
Recently the sampling theory for certain parametric signals based on rate of innovation has been extended to all sampling kernels that satisfy the Strang-Fix conditions, thus incl...
Julius Kusuma, Vivek K. Goyal
SSD
2009
Springer
142views Database» more  SSD 2009»
14 years 3 months ago
Monitoring Orientation of Moving Objects around Focal Points
Abstract. We consider a setting with numerous location-aware moving objects that communicate with a central server. Assuming a set of focal points of interest, we aim at continuous...
Kostas Patroumpas, Timos K. Sellis