Small Sample Size problem - Globe Thesis

Keyword [Small Sample Size problem] Result: 1 - 20 \| Page: 1 of 2
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.	Feature Extraction Based On Locality Preserving Subspace Analysis With Its Application In Face Recognition
12.	Face Recognition Research Based On Linear Projection Analysis And Kernel Function Methods
13.	Feature Extraction And Face Recognition Techniques Based On Subspace Analysis
14.	Support Vector Machine Using In Face Recognition
15.	Discriminant Feature Extraction Algorithms For Face Images Based On "Small Sample Size" Problem
16.	Algorithm Research On Subspace Face Recognition
17.	Face Recognition Algorithm Based On Kernel Discriminant Analysis
18.	Small Sample Based Linear Dimension Reduction Algorithm And Applications
19.	Face Recognition Method Based On Statistics
20.	Research On Feature Extraction Algorithms And Face Recognition In The Case Of Small Sample Size Problem
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