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» A Trainable System for Object Detection
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SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
15 years 4 months ago
A flow based approach for SSH traffic detection
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
Riyad Alshammari, A. Nur Zincir-Heywood
IROS
2008
IEEE
148views Robotics» more  IROS 2008»
15 years 4 months ago
Identifying a moving object with an accelerometer in a camera view
— This paper proposes a method for identifying an object which contains an accelerometer out of many moving objects in the view of a stationary camera using motion data obtained ...
Osamu Shigeta, Shingo Kagami, Koichi Hashimoto
MMSEC
2006
ACM
195views Multimedia» more  MMSEC 2006»
15 years 3 months ago
Image annotation watermarking: nested object embedding using hypergraph model
In this paper, we introduce to the special domain of image annotation watermarking, based on embedding of hierarchical data related to objects into user-selected areas on an image...
Claus Vielhauer, Maik Schott
JUCS
2008
166views more  JUCS 2008»
14 years 9 months ago
Exposure and Support of Latent Social Networks among Learning Object Repository Users
Abstract: Although immense efforts have been invested in the construction of hundreds of learning object repositories, the degree of reuse of learning resources maintained in such ...
Peng Han, Gerd Kortemeyer, Bernd J. Krämer, C...
ARC
2009
Springer
140views Hardware» more  ARC 2009»
15 years 4 months ago
FPGA-Based Anomalous Trajectory Detection Using SOFM
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...