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198
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CVPR
2010
IEEE
16 years 3 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...
161
Voted
ICASSP
2009
IEEE
16 years 1 months ago
Sampling signals with finite rate of innovation in the presence of noise
Recently, it has been shown that it is possible to sample non-bandlimited signals that possess a limited number of degrees of freedom and uniquely reconstruct them from a finite ...
Pier Luigi Dragotti, Felix Homann
184
Voted
ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
16 years 14 days ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
182
Voted
ACSW
2006
15 years 8 months ago
Towards dynamic data grid framework for eResearch
The scale at which scientific data is produced will undergo a massive change in the near future. Many sophisticated scientific discovery laboratories or the installation of sensor...
A. B. M. Russel, Asad I. Khan
128
Voted
MASCOTS
2000
15 years 8 months ago
The synTraff Suite of Traffic Modeling Toolkits
This paper describes three visually interactive tools for the analysis, modeling, and generation of long-range dependent (LRD) network traffic. The synTraff toolkit uses a three-s...
Ram Balakrishnan, Carey L. Williamson