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ICASSP
2011
IEEE
12 years 11 months ago
Detecting human activities in retail surveillance using hierarchical finite state machine
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detecti...
Hoang Trinh, Quanfu Fan, Jiyan Pan, Prasad Gabbur,...
JUCS
2006
185views more  JUCS 2006»
13 years 7 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
ESWA
2008
151views more  ESWA 2008»
13 years 7 months ago
Automated diagnosis of sewer pipe defects based on machine learning approaches
In sewage rehabilitation planning, closed circuit television (CCTV) systems are the widely used inspection tools in assessing sewage structural conditions for non man entry pipes....
Ming-Der Yang, Tung-Ching Su
IJISTA
2007
131views more  IJISTA 2007»
13 years 7 months ago
Face recognition based on ordinal correlation
In this paper, we propose a new face recognition system based on the ordinal correlation principle. First, we will explain the ordinal similarity measure for any two images and th...
Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Ve...
PR
1998
89views more  PR 1998»
13 years 7 months ago
Facial feature detection using geometrical face model: An efficient approach
A usefulgeometricalfacemodel and an efficientfacialfeaturedetection approach are proposed. Based on the fact that human facesare constructed in the same geometricalconfiguration, t...
Shi-Hong Jeng, Hong-Yuan Mark Liao, Chin-Chuan Han...