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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

ANNS

biblio

Visible to the public I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions

Submitted by aekwall on Mon, 02/22/2021 - 1:46pm
  • data-sensitive hashing-based methods
  • multimedia database
  • learned index structure
  • learned hashing
  • learned functions
  • input-output programs
  • indexing
  • I/O efficiency
  • high dimensional space
  • function approximation
  • external storage scenarios
  • external memory
  • data-sensitive indexing
  • data privacy
  • approximate nearest neighbour search
  • ANNS
  • nearest neighbor search
  • search problems
  • file organisation
  • Predictive Metrics
  • Measurement
  • query processing
  • neural nets
  • pubcrawl
  • learning (artificial intelligence)
  • nearest neighbour methods
biblio

Visible to the public New Steganography Scheme to Conceal a Large Amount of Secret Messages Using an Improved-AMBTC Algorithm Based on Hybrid Adaptive Neural Networks

Submitted by grigby1 on Tue, 05/01/2018 - 11:34am
  • image steganography scheme
  • steganography detection
  • Steganography
  • standards
  • smoothing methods
  • secret message concealing
  • PVD systems
  • pubcrawl
  • privacy
  • Neural networks
  • neural nets
  • Metrics
  • media file
  • improved-AMBTC algorithm
  • improved absolute moment block truncation coding algorithm
  • adaptive systems
  • Image Steganography
  • Image edge detection
  • image concealing
  • image compression methods
  • Image coding
  • I-AMBTC
  • hybrid adaptive neural networks
  • HVS
  • edge detection operators
  • data compression
  • composability
  • ART
  • ANNS

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