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ICIP
2001
IEEE
14 years 9 months ago
On the estimation of spectral data: a genetic algorithm approach
Spectral data estimation from image data is an ill-posed problem since (i) due to the integral nature of solid-state light sensors the same output can be obtained from an infinity...
Amâncio Santos, António Dourado, Bern...
ESANN
2008
13 years 9 months ago
Linear Projection based on Noise Variance Estimation - Application to Spectral Data
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
Amaury Lendasse, Francesco Corona
DAGM
2006
Springer
13 years 11 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
TMI
2010
164views more  TMI 2010»
13 years 2 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
ASPDAC
2009
ACM
143views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Statistical modeling and analysis of chip-level leakage power by spectral stochastic method
In this paper, we present a novel statistical full-chip leakage power analysis method. The new method can provide a general framework to derive the full-chip leakage current or po...
Ruijing Shen, Ning Mi, Sheldon X.-D. Tan, Yici Cai...