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» An Efficient Sparse Regularity Concept
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ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
GIS
2008
ACM
14 years 12 months ago
Autonomous navigation of mobile agents using RFID-enabled space partitions
Existing techniques for autonomous indoor navigation are often environment-specific and thus limited in terms of their applicability. In this paper, we take a fundamentally differ...
Muhammad Atif Mehmood, Lars Kulik, Egemen Tanin
DATE
2002
IEEE
95views Hardware» more  DATE 2002»
14 years 3 months ago
Window-Based Susceptance Models for Large-Scale RLC Circuit Analyses
Due to the increasing operating frequencies and the manner in which the corresponding integrated circuits and systems must be designed, the extraction, modeling and simulation of ...
Hui Zheng, Lawrence T. Pileggi, Michael W. Beattie...
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
14 years 8 days ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
AAAI
2006
14 years 7 days ago
Monitoring Food Safety by Detecting Patterns in Consumer Complaints
EPFC (Emerging Patterns in Food Complaints) is the analytical component of the Consumer Complaint Monitoring System, designed to help the food safety officials to efficiently and ...
Artur Dubrawski, Kimberly Elenberg, Andrew W. Moor...