14 search results - page 1 / 3 » Iterative Hyperplane Merging: A Framework for Manifold Learn... |
BMVC
2010
13 years 2 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
INFORMATICALT
2007
13 years 4 months ago
2007
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In this paper, we propose a temporal super resolution approach for quasi-periodic image sequence such as human gait. The proposed method effectively combines examplebased and reco...