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Perception Preserving Projections
Published on Apr 03, 20142395 Views
Linear projection for reducing data dimensionality is a common practice in various data processing applications. Among the existing projection methods, Principal Component Analysis (PCA) is arguably
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Chapter list
Perception Preserving Projections00:00
Motivations00:00
Motivations (cont.)01:19
Problem Formulation: PCA Revisiting03:26
Problem Formulation: Perception Preserving Projections04:18
Optimization06:01
Optimization (cont.) - 107:02
Optimization (cont.) - 209:06
Experimental Results: Synthetic Data10:16
Experimental Results: Gradient Preserving and Gabor Feature Preserving12:22
Experimental Results: Gradient and Gabor Feature Preserving (cont.) - 113:35
Experimental Results: Gradient and Gabor Feature Preserving (cont.) - 214:44
Conclusion15:15
Thank You16:26