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On Approximating Metric Nearness Through Deep Learning
Magzhan Gabidolla
, Alisher Iskakov
, M. Fatih Demirci
,
Adnan Yazici
Department of Computer Science
Nazarbayev University
Nazarbayev University
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
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Citations (Scopus)
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Keyphrases
Close Distance
100%
Clustered Data
50%
Deep Learning
100%
Deep Learning Architectures
50%
Deep Neural Network
50%
Dissimilarity Matrix
50%
Distance Matrix
100%
Existing Algorithms
50%
Image Pattern
50%
Image Segmentation
50%
Metric Nearness
100%
Metric Space
50%
N-dimensional Space
50%
Near Matrix
50%
Nearness Problem
50%
Object Retrieval
50%
Pattern Recognition
50%
Runtime Complexity
50%
Space Object
50%
Triangle Inequality
100%
Triangle Inequality Violation
50%
Triangular Inequality
50%
INIS
algorithms
25%
applications
25%
architecture
25%
data
25%
distance
100%
images
25%
learning
100%
matrices
100%
metrics
100%
neural networks
25%
pattern recognition
25%
space
50%
violations
50%
Computer Science
Clustered Data
33%
Deep Learning Method
100%
Deep Neural Network
33%
Dimensional Space
33%
Dissimilarity Matrix
33%
Distance Matrix
66%
Experimental Result
33%
Image Segmentation
33%
Information Retrieval
33%
Learning Approach
33%
Metric Space
33%
Pattern Recognition
33%
Runtime Complexity
33%
Triangle Inequality
100%