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» Classification of Six-Point Metrics
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ICML
2003
IEEE
16 years 4 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
INTERACT
2007
15 years 5 months ago
Towards Metrics for Web Accessibility Evaluation
Nowadays, accessibility is a crucial factor for Web site development and use, and yet, people with visual disabilities face many accessibility barriers that hinder the adequate un...
Sinésio Teles de Lima, Fernanda Lima, K&aac...
NIPS
2004
15 years 5 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
137
Voted
SIAMJO
2008
79views more  SIAMJO 2008»
15 years 3 months ago
A Class of Inexact Variable Metric Proximal Point Algorithms
For the problem of solving maximal monotone inclusions, we present a rather general class of algorithms, which contains hybrid inexact proximal point methods as a special case and ...
Lisandro A. Parente, Pablo A. Lotito, Mikhail V. S...
131
Voted
CVPR
2008
IEEE
15 years 5 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang