Statistical manifold

In mathematics, a statistical manifold is a Riemannian manifold, each of whose points is a probability distribution. Statistical manifolds provide a… (More)
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Topic mentions per year

Topic mentions per year

1993-2017
051019932017

Papers overview

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2017
2017
We solve tensor balancing, rescaling an N th order nonnegative tensor by multiplying N tensors of order N −1 so that every fiber… (More)
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2014
2014
In this paper, we tackle the problem of unsupervised domain adaptation for classification. In the unsupervised scenario where no… (More)
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2014
2014
Manifold learning seeks low-dimensional representations of high-dimensional data. The main tactics have been exploring the… (More)
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2013
2013
Many adaptive sensing and sensor management strategies seek to determine a sequence of sensor actions that successively optimizes… (More)
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2013
2013
A condition for a statistical manifold to have an equiaffine structure is studied. The facts that dual flatness and conjugate… (More)
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2011
2011
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video… (More)
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2009
2009
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising… (More)
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2007
2007
Dimensionality reduction and clustering on statistical manifolds is presented. Statistical manifold [16] is a 2D Riemannian… (More)
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2007
2007
Abstract. Two entropic dynamical models are considered. The geometric structure of the statistical manifolds underlying these… (More)
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2007
2007
We consider the problem of analyzing data for which no straight forward and meaningful Euclidean representation is available… (More)
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