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ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
16 years 13 days 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»
16 years 13 days 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
15 years 12 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
15 years 4 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
15 years 1 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