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A novel locally linear KNN model for visual recognition
Qingfeng Liu
,
Chengjun Liu
Computer Science
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Chapter in Book/Report/Conference proceeding
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Conference contribution
32
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Dive into the research topics of 'A novel locally linear KNN model for visual recognition'. Together they form a unique fingerprint.
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Keyphrases
Visual Recognition
100%
NK Model
100%
Locally Linear
100%
Nearest Mean Classifier
40%
Bayes Rule
40%
Kernel Density Estimation
40%
Object Recognition
40%
Popular
20%
Linear Combination
20%
Face Recognition
20%
Efficient Representation
20%
Locality Constraint
20%
Cutoff Phenomenon
20%
Efficient Classification
20%
Classification Rules
20%
Power Transformation
20%
Recognition Task
20%
Sparsity Constraint
20%
Scene Recognition
20%
Minimum Error
20%
Classification Methods
20%
Group Effect
20%
Recognition Scene
20%
KNN Classifier
20%
Action Recognition
20%
Training Samples
20%
Nearest Neighbor
20%
Representation Technique
20%
Reconstruction Constraint
20%
Shifting Power
20%
Computer Science
k-Nearest Neighbors Algorithm
100%
Bayes Decision Rule
40%
Sparsity
20%
Experimental Result
20%
Linear Combination
20%
Representation Method
20%
Classification Rule
20%
Training Sample
20%
Object Recognition
20%
Action Recognition
20%
Power Transformation
20%
Classification Method
20%
Facial Recognition
20%