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SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
14 years 5 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
ICPR
2010
IEEE
13 years 10 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
TCSV
2008
139views more  TCSV 2008»
13 years 7 months ago
Trajectory-Based Anomalous Event Detection
Abstract--During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains ar...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 7 months ago
ANTIDS: Self-Organized Ant-based Clustering Model for Intrusion Detection System
: Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the protection of computing systems again...
Vitorino Ramos, Ajith Abraham
INFOCOM
2010
IEEE
13 years 6 months ago
Cooperative Boundary Detection for Spectrum Sensing Using Dedicated Wireless Sensor Networks
Abstract—Spectrum sensing is one of the key enabling technologies in Cognitive Radio Networks (CRNs). In CRNs, secondary users (SUs) are allowed to exploit the spectrum opportuni...
Yanyan Yang, Yunhuai Liu, Qian Zhang, Lionel M. Ni