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Learning nonlinear manifolds of dynamic textures
Ishan Awasthi
,
Ahmed Elgammal
School of Arts and Sciences, Computer Science
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Nonlinear Manifold
100%
Dynamic Texture
100%
Embedding Space
75%
Nonlinear Mapping
50%
Input Sequence
50%
Nonlinear Correlation
50%
Sequence Models
25%
Low Dimension
25%
Image Sequence
25%
Stationarity
25%
Long Sequence
25%
Splines
25%
Linear Combination
25%
Space Images
25%
Nonlinear Dimensionality Reduction
25%
Linear Correlation
25%
Dimension Model
25%
Input Space
25%
Linear Dynamic Systems
25%
Fountain
25%
Moving Scenes
25%
Image Input
25%
Output Sequence
25%
Engineering
Input Sequence
100%
Dimensionality
50%
Stationarity
50%
Linear Combination
50%
Basis Function
50%
Image Space
50%
Input Space
50%
Output Sequence
50%
Computer Science
Nonlinear Mapping
100%
System Dynamics
50%
Dimensionality Reduction
50%
Linear Combination
50%
Sequence Model
50%
Basis Function
50%
Dimension Model
50%
Output Sequence
50%