Sort by
Keyphrases
Eigenfilter
100%
Structure Filter
100%
Feature Representation
100%
Multi-structure
100%
Face Recognition
100%
Recognition Features
100%
Filter Learning
100%
Deep Convolutional Neural Network (deep CNN)
66%
Convolution Kernel
66%
Convolutional Neural Network
66%
Neural Network Method
33%
Color Face Recognition
33%
Convolutional Layer
33%
Feature Extraction
33%
Channel-wise
33%
High Computational Cost
33%
One Solution
33%
Three-stage Approach
33%
Competitive Performance
33%
Reconstruction Error
33%
Filter Bank
33%
Pre-trained Convolutional Neural Networks
33%
Linear Combination
33%
Multiple Structures
33%
Convolution Operation
33%
Standard Filter
33%
Training Data
33%
Computer Science
Convolutional Neural Network
100%
Face Recognition
100%
Deep Convolutional Neural Networks
66%
Convolution Kernel
66%
Linear Combination
33%
Reconstruction Error
33%
Feature Extraction
33%
Training Data
33%
Filter Bank
33%
Computational Cost
33%
Convolution Operation
33%
Convolutional Layer
33%
Engineering
Convolutional Neural Network
100%
Limitations
20%
Computational Cost
20%
Convolutional Layer
20%
Based Feature Extraction
20%
Linear Combination
20%
Filter Banks
20%
Biochemistry, Genetics and Molecular Biology
Facial Recognition
100%
Reconstruction
50%
Solution and Solubility
50%