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ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
14 years 2 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
ISQED
2006
IEEE
78views Hardware» more  ISQED 2006»
14 years 2 months ago
Simultaneous Statistical Delay and Slew Optimization for Interconnect Pipelines
Process variation has become a major concern in the design of many nanometer circuits, including interconnect pipelines. This paper develops closed-form models to predict the dela...
Andrew Havlir, David Z. Pan
MLDM
2005
Springer
14 years 1 months ago
SSC: Statistical Subspace Clustering
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
HVEI
2010
13 years 6 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
TSP
2010
13 years 2 months ago
Multichannel deconvolution of seismic signals using statistical MCMC methods
In this paper we propose two multichannel blind deconvolution algorithms for the restoration of two-dimensional (2D) seismic data. Both algorithms are based on a 2D reflectivity pr...
Idan Ram, Israel Cohen, Shalom Raz