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Binary code learning with semantic ranking based supervision
Viet Anh Nguyen
,
Minhn Do
Electrical and Computer Engineering
Grainger College of Engineering
Bioengineering
Coordinated Science Lab
Biomedical and Translational Sciences
Beckman Institute for Advanced Science and Technology
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
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Keyphrases
Ranking Method
100%
Binary Code Learning
100%
Semantic Ranking
100%
Binary Code
100%
Regularizer
33%
Rank Order
33%
Code Distribution
33%
Efficient Similarity Search
33%
Quantization Loss
33%
Binary Hashing
33%
Hashing Method
33%
Hash Function
33%
Compact Binary Code
33%
Hashing
33%
Empirical Error
33%
Search Performance
33%
Order Information
33%
High-dimensional Space
33%
Code Space
33%
Supervised Ranking
33%
Semantic Data
33%
Vision Loss
33%
Semantic Neighbors
33%
Computer Science
Hashing
100%
Experimental Result
50%
Data Structure
50%
Hashing Method
50%
Similarity Search
50%
Hash Function
50%
Order Information
50%
High Dimensional Space
50%