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» Towards an Analysis of Local Optimization Algorithms
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CVPR
2007
IEEE
14 years 9 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
13 years 11 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
SIGMOD
2009
ACM
139views Database» more  SIGMOD 2009»
14 years 7 months ago
Detecting and resolving unsound workflow views for correct provenance analysis
views abstract groups of tasks in a workflow into high level composite tasks, in order to reuse sub-workflows and facilitate provenance analysis. However, unless a view is careful...
Peng Sun, Ziyang Liu, Susan B. Davidson, Yi Chen
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
14 years 2 months ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
ISBI
2004
IEEE
14 years 8 months ago
Variational Methods and Partial Differential Equations in Cardiac Image Analysis
Cardio-vascular diseases is a major cause of deaths worldwide. Early diagnosis is quite often associated with more efficient treatment leading to a significant decrease of the mor...
Nikos Paragios