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ICIP
2001
IEEE
16 years 9 months ago
DCT quantization noise in compressed images
In lossy image compression schemes utilizing the discrete cosine transform (DCT), quantization of the DCT coefficients introduces error in the image representation and a loss of s...
Mark A. Robertson, Robert L. Stevenson
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
16 years 1 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
ICC
2009
IEEE
109views Communications» more  ICC 2009»
16 years 2 months ago
Measurement-Based Modeling of Vehicle-to-Vehicle MIMO Channels
— Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems...
Johan Karedal, Fredrik Tufvesson, Nicolai Czink, A...
DPHOTO
2010
208views Hardware» more  DPHOTO 2010»
15 years 9 months ago
A signature analysis based method for elliptical shape
The high level context image analysis regards many fields as face recognition, smile detection, automatic red eye removal, iris recognition, fingerprint verification, etc. Techniq...
Ivana Guarneri, Mirko Guarnera, Giuseppe Messina, ...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 6 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup