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Semi-supervised discriminant analysis
Deng Cai
, Xiaofei He
,
Jiawei Han
Information Trust Institute
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Research output
:
Contribution to conference
›
Paper
›
peer-review
Overview
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Keyphrases
Covariance
100%
Semi-supervised Discriminant Analysis
100%
Popular
50%
Labeled Data
50%
Image Retrieval
50%
Covariance Matrix
50%
Feature Extraction
50%
Discriminant Function
50%
Geometric Structure
50%
Face Recognition
50%
Linear Discriminant Analysis
50%
Labeled Sample
50%
Class Separability
50%
Training Samples
50%
Unlabeled Data
50%
Separability
50%
Relevance Feedback
50%
Data Manifold
50%
Projection Vector
50%
Unlabeled Samples
50%
Single Training Image
50%
Computer Science
Discriminant Analysis
100%
Experimental Result
50%
Image Retrieval
50%
Discriminant Function
50%
Covariance Matrix
50%
Linear Discriminant Analysis
50%
Training Sample
50%
Relevance Feedback
50%
Training Image
50%
Intrinsic Property
50%
Unlabeled Sample
50%
Facial Recognition
50%