52 search results - page 1 / 11 » Parametric Embedding for Class Visualization |
NIPS
2004
13 years 5 months ago
2004
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
ESANN
2006
13 years 6 months ago
2006
Abstract. We present a new method for analyzing classifiers by visualization, which we call visual nonlinear discriminant analysis. Classifiers that output posterior probabilities ...
FORMATS
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. In this paper, we propose a new framework for the parametric verification of time Petri nets with stopwatches controlled by inhibitor arcs. We first introduce an extensio...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...