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ICASSP
2010
IEEE
9 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
GRC
2008
IEEE
9 years 7 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
NIPS
2004
9 years 8 months ago
Adaptive Manifold Learning
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Jing Wang, Zhenyue Zhang, Hongyuan Zha
ACAL
2007
Springer
9 years 8 months ago
Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction
This paper addresses the topic of how architectural visual experience can be represented and utilised by a software system. The long-term aim is to equip an artificial agent with ...
Stephan K. Chalup, Riley Clement, Chris Tucker, Mi...
AAAI
2007
9 years 9 months ago
Manifold Denoising as Preprocessing for Finding Natural Representations of Data
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
Matthias Hein, Markus Maier
ICPR
2010
IEEE
9 years 10 months ago
Learning a Joint Manifold Representation from Multiple Data Sets
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...
Marwan Torki, Ahmed Elgammal, Chan-Su Lee
COMPGEOM
2010
ACM
9 years 10 months ago
Manifold reconstruction using tangential Delaunay complexes
We give a provably correct algorithm to reconstruct a kdimensional manifold embedded in d-dimensional Euclidean space. Input to our algorithm is a point sample coming from an unkn...
Jean-Daniel Boissonnat, Arijit Ghosh
CVPR
1997
IEEE
9 years 11 months ago
Panoramic mosaics by manifold projection
As the field of view of a picture is much smaller than our own visual field of view, it is common to paste together several pictures to create a panoramic mosaic having a larger...
Shmuel Peleg, Joshua Herman
IPPS
1999
IEEE
9 years 11 months ago
Dynamic Process Composition and Communication Patterns in Irregularly Structured Applications
In this paper we describe one experiment in which a new coordination language, called MANIFOLD, is used to restructure an existing sequential Fortran code from computational uid dy...
C. T. H. Everaars, Barry Koren, Farhad Arbab
SMA
1999
ACM
100views Solid Modeling» more  SMA 1999»
9 years 11 months ago
Matchmaker: manifold BReps for non-manifold r-sets
Many solid modeling construction techniques produce non-manifold r-sets (solids). With each non-manifold model N we can associate a family of manifold solid models that are infini...
Jarek Rossignac, David E. Cardoze
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