Small Sample Size - Globe Thesis

Keyword [Small Sample Size] Result: 1 - 20 \| Page: 1 of 3
1.	Linear Projection Analysis: Theory, Algorithms, And Application In Feature Extraction
2.	Research On Subspace Analysis-based Feature Extraction And Face Recognition
3.	Research On Methods Of The Discriminant Feature Extraction In Face Recognition
4.	Face Image Feature Extraction And Recognition In The Case Of Small Sample Size Problem
5.	The Research Of Feature Extraction Methods And Their Applications
6.	Algorithms Research On Feature Extraction And Classifiers Of High-Dimensional And Small Sample Size Data
7.	Study On Technology Of Face Detection And Recognition
8.	Study On Some Subspace Methods For Feature Extraction And Their Applications In Face Recognition
9.	Research On Key Problems Of Face Detection And Recognition
10.	Research On Subspace Representation Of Face Images
11.	Research On Feature Extraction Methods For Face Recognition
12.	Subspace Analysis And Classification Method For Face Recognition
13.	On The Algorithms Of Face Recognition
14.	Feature Extraction Based On Locality Preserving Subspace Analysis With Its Application In Face Recognition
15.	Face Recognition Research Based On Linear Projection Analysis And Kernel Function Methods
16.	Feature Extraction And Face Recognition Techniques Based On Subspace Analysis
17.	Support Vector Machine Using In Face Recognition
18.	Discriminant Feature Extraction Algorithms For Face Images Based On "Small Sample Size" Problem
19.	Sub-pattern Canonical Correlation Analysis With Application In Face Recognition
20.	A Research On Kernel-based Face Recognition Applications
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