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Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud

https://doi.org/10.1109/tip.2017.2710635

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Cloud computing service for knowledge assessment and studies recommendation in crowdsourcing and collaborative learning environments based on social network analysis

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Distinctive Image Features from Scale-Invariant Keypoints

inferredcites →https://doi.org/10.1109/cvpr.2006.264openalex-snapshot

Scalable Recognition with a Vocabulary Tree

inferredcites →https://doi.org/10.1109/cvpr.2007.383172openalex-snapshot

Object retrieval with large vocabularies and fast spatial matching

inferredcites →https://doi.org/10.1109/cvpr.2009.5206772openalex-snapshot

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Governance of Cloud Computing Services for the Life Sciences

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The Semi-Variogram and Spectral Distortion Measures for Image Texture Retrieval

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Spectral grouping using the nystrom method

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Fast Similarity Search for Learned Metrics

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Kernelized Locality-Sensitive Hashing

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Semi-Supervised Hashing for Large-Scale Search

inferredcites →https://doi.org/10.1109/tpami.2014.2315806openalex-snapshot

Batch-Orthogonal Locality-Sensitive Hashing for Angular Similarity

inferredcites →https://doi.org/10.1109/tpami.2015.2462338openalex-snapshot

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Algorithm-Dependent Generalization Bounds for Multi-Task Learning

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Information-theoretic metric learning

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Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions

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Cloud Computing Based Systems for Healthcare

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