Results 21 to 30 of about 126,873 (298)
Multi-PQTable for Approximate Nearest-Neighbor Search
Information, 2019 Image retrieval or content-based image retrieval (CBIR) can be transformed into the calculation of the distance between image feature vectors. The closer the vectors are, the higher the image similarity will be.
Xinpan Yuan +4 more
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Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Product Quantization (PQ) has long been a mainstream for generating an exponentially large codebook at very low memory/time cost. Despite its success, PQ is still tricky for the decomposition of high-dimensional vector space, and the retraining of model is usually unavoidable when the code length changes.
Gao, Lianli +4 more
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Approximate Nearest Neighbor Search by Residual Vector Quantization
Sensors, 2010 A recently proposed product quantization method is efficient for large scale approximate nearest neighbor search, however, its performance on unstructured vectors is limited.
Cheng Wang, Tao Guan, Yongjian Chen
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Spectral action in matrix form
European Physical Journal C: Particles and Fields, 2020 Quantization of the noncommutative geometric spectral action has so far been performed on the final component form of the action where all traces over the Dirac matrices and symmetry algebra are carried out.
Ali H. Chamseddine +2 more
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Constrained Quantization on Symplectic Manifolds and Quantum Distribution Functions [PDF]
, 1996 A quantization scheme based on the extension of phase space with application of constrained quantization technic is considered. The obtained method is similar to the geometric quantization.
Bleuler K., G. Jorjadze, Jorjadze G.
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Symmetrization of Berezin Star Product and Path-Integral Quantization [PDF]
, 1999 We propose a new star pruduct which interpolates the Berezin and Moyal quantization. A multiple of this product is shown to reduce to a path-integral quantization in the continuous time limit.
Saito, Satoru, Wakatsuki, Kazunori
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Product Quantization using Regression
International Journal of Innovative Technology and Exploring Engineering, 2020 Approximate Nearest Neighbor (ANN) has developed an immense demand for many tasks. This ANN methodology was being used for product quantization. These product quantization methods were being used for e-commerce sites. However, this quantization maybe sometimes misleading due to a lack of accuracy in technique. So, we managed to increase the accuracy of
Vasanthi Vadlamudi* +4 more
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Short Star-Products for Filtered Quantizations, I [PDF]
Symmetry, Integrability and Geometry: Methods and Applications, 2020 We develop a theory of short star-products for filtered quantizations of graded Poisson algebras, introduced in 2016 by Beem, Peelaers and Rastelli for algebras of regular functions on hyperK hler cones in the context of 3-dimensional $N=4$ superconformal field theories [Beem C., Peelaers W., Rastelli L., Comm. Math. Phys.
Etingof, Pavel, Stryker, Douglas
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Elastic Product Quantization for Time Series
, 2022 Analyzing numerous or long time series is difficult in practice due to the high storage costs and computational requirements. Therefore, techniques have been proposed to generate compact similarity-preserving representations of time series, enabling real-time similarity search on large in-memory data collections.
Robberechts, Pieter +2 more
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Reference-Vector Removed Product Quantization for Approximate Nearest Neighbor Search
Applied SciencesThis paper proposes a decorrelation scheme based on product quantization, termed Reference-Vector Removed Product Quantization (RvRPQ), for approximate nearest neighbor (ANN) search.
Yang Wang, Ce Xu, Xueyi Wu
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