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ACCV
2006
Springer
15 years 10 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
SIGGRAPH
1998
ACM
15 years 9 months ago
A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display
In this paper we develop a computational model of adaptation and spatial vision for realistic tone reproduction. The model is based on a multiscale representation of pattern, lumi...
Sumanta N. Pattanaik, James A. Ferwerda, Mark D. F...
CSC
2006
15 years 6 months ago
Applying Sparse Matrix Solvers to a Glacial Ice Sheet Model
- Two software packages for solving sparse systems of linear equations, SuperLU and UMFPACK, have been integrated with the University of Maine Ice Sheet Model for predicting the fo...
Rodney Jacobs, James Fastook, Aitbala Sargent
ICASSP
2011
IEEE
14 years 8 months ago
Cosparse analysis modeling - uniqueness and algorithms
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
ICML
2005
IEEE
16 years 5 months ago
Generalized LARS as an effective feature selection tool for text classification with SVMs
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
S. Sathiya Keerthi