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CVPR
2012
IEEE
11 years 7 months ago
Sasaki metrics for analysis of longitudinal data on manifolds
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
Prasanna Muralidharan, P. Thomas Fletcher
CHI
2009
ACM
13 years 11 months ago
Best practices in longitudinal research
Abstract: Best Practices in Longitudinal Research This workshop will identify best practices for longitudinal research through an in-depth exploration of methods and metrics for c...
Catherine Courage, Jhilmil Jain, Stephanie Rosenba...
ECCV
2010
Springer
13 years 9 months ago
Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...
ACCV
2009
Springer
13 years 11 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
PR
2010
186views more  PR 2010»
13 years 2 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang