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Large scale online learning of image similarity through ranking
Gal Chechik
, Varun Sharma
, Uri Shalit
, Samy Bengio
Alphabet Inc.
Bar-Ilan University
Hebrew University of Jerusalem
Research output
:
Contribution to journal
›
Article
›
peer-review
651
Scopus citations
Overview
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Dive into the research topics of 'Large scale online learning of image similarity through ranking'. Together they form a unique fingerprint.
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Keyphrases
Image Similarity
100%
Obstetric Anal Sphincter Injuries (OASIS)
100%
Large-scale Online Learning
100%
Similarity Measure
40%
Large-scale Dataset
40%
Machine Learning
20%
State-of-the-art Techniques
20%
Order of Magnitude
20%
Online Algorithms
20%
Large Margin
20%
Human Evaluation
20%
Learning Algorithm
20%
Nearest Neighbor
20%
Million Images
20%
Hinge Loss
20%
Text Query
20%
Semantic Similarity
20%
Image Similarity Learning
20%
Dual Approach
20%
Bilinear Similarity
20%
Similarity Function
20%
Sparse Representation
20%
Loss Cost
20%
Web-scale
20%
Existing State
20%
Positivity Constraint
20%
Large-scale Application
20%
Semantically Related
20%
Storage Requirements
20%
Passive-Aggressive
20%
Learned Similarities
20%
Computer Science
Image Similarity
100%
Scale Data Set
100%
Electronic Learning
100%
Large Scale Data
66%
on-line algorithm
33%
Large Data Set
33%
Sparse Representation
33%
Similarity Function
33%
Learning Algorithm
33%
Positivity Constraint
33%
Storage Requirement
33%
Machine Learning
33%
Learning System
33%