Clothes Retrieval Using M-AlexNet With Mish Function and Feature Selection Using Joint Shannon's Entropy Pearson's Correlation Coefficient.
Marryam MurtazaMuhammad SharifMussarat YasminMuhammad FayyazSeifedine KadryMi Young LeePublished in: IEEE Access (2022)
Keyphrases
- correlation coefficient
- information gain
- feature selection
- information theory
- precision recall
- stepwise regression
- mutual information
- information theoretic
- information retrieval
- standard deviation
- shannon entropy
- principal components
- structural similarity
- chi square
- relevance feedback
- information retrieval systems
- correlation analysis
- image retrieval
- text classification
- root mean squared error
- text categorization
- intuitionistic fuzzy sets
- image database
- root mean square error
- quantum genetic algorithm
- machine learning
- support vector
- document retrieval
- classification accuracy
- dimensionality reduction
- feature extraction
- high dimensional
- image quality assessment
- face recognition
- human body
- noise variance
- model selection
- feature set
- principal component analysis