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» A New Manifold Representation for Visual Speech Recognition
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GBRPR
2009
Springer
15 years 6 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»
14 years 11 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»
14 years 6 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
15 years 5 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
15 years 6 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