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PCM
2005
Springer
288views Multimedia» more  PCM 2005»
14 years 27 days ago
Adaptive Deinterlacing for Real-Time Applications
In general, motion compensated (MC) deinterlacing algorithms can outperform non-MC (NMC) ones. However, we often prefer to choose the latter due to the considerations of error prop...
Qian Huang, Wen Gao, Debin Zhao, Huifang Sun
MDM
2009
Springer
299views Communications» more  MDM 2009»
14 years 1 months ago
Aggregate Location Monitoring for Wireless Sensor Networks: A Histogram-Based Approach
Location monitoring systems are used to detect human activities and provide monitoring services, e.g., aggregate queries. In this paper, we consider an aggregate location monitori...
Chi-Yin Chow, Mohamed F. Mokbel, Tian He
UAI
1996
13 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
AVSS
2009
IEEE
13 years 10 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 7 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone