Sciweavers

VVS
1995
IEEE
132views Visualization» more  VVS 1995»
13 years 8 months ago
Multi-Dimensional Trees for Controlled Volume Rendering and Compression
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Jane Wilhelms, Allen Van Gelder
GLOBECOM
2009
IEEE
13 years 8 months ago
A Subspace Method for the Blind Identification of Multiple Time-Varying FIR Channels
A new method is proposed for the blind subspace-based identification of the coefficients of time-varying (TV) single-input multiple-output (SIMO) FIR channels. The TV channel coef...
Benoît Champagne, Amr El-Keyi, Chao-Cheng Tu
DATE
2007
IEEE
94views Hardware» more  DATE 2007»
13 years 8 months ago
Optimization-based wideband basis functions for efficient interconnect extraction
This paper introduces a technique for the numerical generation of basis functions that are capable of parameterizing the frequency-variant nature of cross-sectional conductor curre...
Xin Hu, Tarek Moselhy, Jacob K. White, Luca Daniel
IWANN
1999
Springer
13 years 9 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
BMCV
2000
Springer
13 years 9 months ago
The Spectral Independent Components of Natural Scenes
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
VISUALIZATION
2005
IEEE
13 years 10 months ago
Framework for Visualizing Higher-Order Basis Functions
Techniques in numerical simulation such as the finite element method depend on basis functions for approximating the geometry and variation of the solution over discrete regions ...
William J. Schroeder, François Bertel, Math...
IJCNN
2007
IEEE
13 years 11 months ago
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
Ignacio Barrio, Enrique Romero, Lluís Belan...
IJCNN
2007
IEEE
13 years 11 months ago
A Functional Link Network With Ordered Basis Functions
—A procedure is presented for selecting and ordering the polynomial basis functions in the functional link net (FLN). This procedure, based upon a modified Gram Schmidt orthonorm...
Saurabh Sureka, Michael T. Manry
ICPR
2008
IEEE
13 years 11 months ago
Adaptive Laplacian eigenfunctions as bases for regression analysis
Regression or least squares fitting is an important problem in statistics, data mining and many other applications. In recent years, basis functions derived from the underlying g...
Lei Ding, Xiaole Bai
ICASSP
2008
IEEE
13 years 11 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...