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» Hierarchical Structuring of Data on Manifolds
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NIPS
2004
13 years 9 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
ICASSP
2010
IEEE
13 years 7 months ago
An exploratory study of manifolds of emotional speech
This study explores manifold representations of emotionally modulated speech. The manifolds are derived in the articulatory space and two acoustic spaces (MFB and MFCC) using isom...
Jangwon Kim, Sungbok Lee, Shrikanth S. Narayanan
DAGSTUHL
2009
13 years 8 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
COSIT
1997
Springer
143views GIS» more  COSIT 1997»
13 years 11 months ago
Using Hierarchical Spatial Data Structures for Hierarchical Spatial Reasoning
This paper gives a definition of Hierarchical Spatial Reasoning, which computes increasingly better results in a hierarchical fashion and stops the computation when a result is ac...
Sabine Timpf, Andrew U. Frank