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» Using Gaussian Processes to Optimize Expensive Functions
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KDD
2000
ACM
211views Data Mining» more  KDD 2000»
13 years 11 months ago
Mining IC test data to optimize VLSI testing
We describe an application of data mining and decision analysis to the problem of die-level functional test in integrated circuit manufacturing. Integrated circuits are fabricated...
Tony Fountain, Thomas G. Dietterich, Bill Sudyka
ICPR
2006
IEEE
14 years 8 months ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar
ICASSP
2011
IEEE
12 years 11 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
ICA
2007
Springer
14 years 1 months ago
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
DAC
1999
ACM
14 years 8 months ago
Representation of Function Variants for Embedded System Optimization and Synthesis
Many embedded systems are implemented with a set of alternative function variants to adapt the system to different applications or environments. This paper proposes a novel approa...
Dirk Ziegenbein, Jürgen Teich, Kai Richter, L...