Results 31 to 40 of about 23,885 (296)
Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval
Applied Computational Intelligence and Soft Computing, 2017 Hashing has been widely deployed to perform the Approximate Nearest Neighbor (ANN) search for the large-scale image retrieval to solve the problem of storage and retrieval efficiency.
Lijuan Duan +4 more
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Deep Hashing Based on Class-Discriminated Neighborhood Embedding
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the associated hash codes in an end-to-
Jian Kang +4 more
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Theoretical Computer Science, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Czech, Zbigniew J. +2 more
openaire +6 more sources
Scalable IoT Platform for Heterogeneous Devices in Smart Environments
IEEE Access, 2020 The Internet of Things (IoT) is envisioned as a ubiquitous computing infrastructure in which everything becomes connected, enabling gigantic information exchange among Things and people.
Asad Javed +3 more
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AAU-Net: Attention-Based Asymmetric U-Net for Subject-Sensitive Hashing of Remote Sensing Images
Remote Sensing, 2021 The prerequisite for the use of remote sensing images is that their security must be guaranteed. As a special subset of perceptual hashing, subject-sensitive hashing overcomes the shortcomings of the existing perceptual hashing that cannot distinguish ...
Kaimeng Ding +5 more
doaj +1 more source
Performance comparison of point and spatial access methods [PDF]
, 1990 In the past few years a large number of multidimensional point access methods, also called multiattribute index structures, has been suggested, all of them claiming good performance.
Kriegel, Hans-Peter +9 more
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Parallel Geometric Hashing Algorithm For Protein Tertiary Structure. [PDF]
, 2007 The amount of protein structure has become very huge nowadays, which has led to the need for improving algorithms to cope with this exponential increase.
Jaber, Khalid +2 more
core +1 more source
International Journal of Approximate Reasoning, 2009 AbstractWe show how to learn a deep graphical model of the word-count vectors obtained from a large set of documents. The values of the latent variables in the deepest layer are easy to infer and give a much better representation of each document than Latent Semantic Analysis.
Ruslan Salakhutdinov, Geoffrey E. Hinton
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CoRR, 2021 This paper proposes a novel ternary hash encoding for learning to hash methods, which provides a principled more efficient coding scheme with performances better than those of the state-of-the-art binary hashing counterparts. Two kinds of axiomatic ternary logic, Kleene logic and Łukasiewicz logic are adopted to calculate the Ternary Hamming Distance ...
Chang Liu 0069 +7 more
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