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» A New Manifold Representation for Visual Speech Recognition
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GBRPR
2009
Springer
13 years 11 months ago
Computing and Visualizing a Graph-Based Decomposition for Non-manifold Shapes
Modeling and understanding complex non-manifold shapes is a key issue in shape analysis and retrieval. The topological structure of a non-manifold shape can be analyzed through its...
Leila De Floriani, Daniele Panozzo, Annie Hui
PAMI
2002
114views more  PAMI 2002»
13 years 4 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam
TMM
2010
224views Management» more  TMM 2010»
12 years 11 months ago
A 3-D Audio-Visual Corpus of Affective Communication
Communication between humans deeply relies on the capability of expressing and recognizing feelings. For this reason, research on human-machine interaction needs to focus on the re...
Gabriele Fanelli, Jürgen Gall, Harald Romsdor...
TSD
2004
Springer
13 years 9 months ago
A New Multi-modal Database for Developing Speech Recognition Systems for an Assistive Technology Application
In this paper we report on the acquisition and content of a new database intended for developing audio-visual speech recognition systems. This database supports a speaker dependen...
António Moura, Diamantino Freitas, Vitor Pe...
ICASSP
2008
IEEE
13 years 11 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose