Results 11 to 20 of about 126,873 (298)

A new quantization principle from a minimally non time-ordered product

open access: yesJournal of High Energy Physics, 2022
We formulate a new quantization principle for perturbative quantum field theory, based on a minimally non time-ordered product, and show that it gives the theories of physical particles and purely virtual particles.
Damiano Anselmi
doaj   +1 more source

Scalable Image Retrieval by Sparse Product Quantization [PDF]

open access: yes, 2016
Fast Approximate Nearest Neighbor (ANN) search technique for high-dimensional feature indexing and retrieval is the crux of large-scale image retrieval. A recent promising technique is Product Quantization, which attempts to index high-dimensional image ...
Chen, Chun   +4 more
core   +3 more sources

Nonparametric Clustering of Mixed Data Using Modified Chi-Squared Tests

open access: yesEntropy, 2022
We propose a non-parametric method to cluster mixed data containing both continuous and discrete random variables. The product space of the continuous and discrete sample space is transformed into a new product space based on adaptive quantization on the
Yawen Xu, Xin Gao, Xiaogang Wang
doaj   +1 more source

Entanglement production in quantized chaotic systems [PDF]

open access: yesPramana, 2005
Quantum chaos is a subject whose major goal is to identify and to investigate different quantum signatures of classical chaos. Here we study entanglement production in coupled chaotic systems as a possible quantum indicator of classical chaos. We use coupled kicked tops as a model for our extensive numerical studies.
Bandyopadhyay, Jayendra N.   +1 more
openaire   +2 more sources

A New Cell-Level Search Based Non-Exhaustive Approximate Nearest Neighbor (ANN) Search Algorithm in the Framework of Product Quantization

open access: yesIEEE Access, 2019
Non-exhaustive search is widely used in the approximate nearest neighbor (ANN) search. In this paper, we propose a new cell-level search-based non-exhaustive ANN search algorithm in the framework of product quantization (PQ) called cell-level PQ to speed
Yang Wang, Zhibin Pan, Rui Li
doaj   +1 more source

Angular Quantization Online Hashing for Image Retrieval

open access: yesIEEE Access, 2022
Online hash method with fast search mechanism and compact index structure plays a pivotal role. The inner product between label data has become one of the important means to measure the similarity between existing data and new data streams in online ...
Yuzhi Fang, Li Liu
doaj   +1 more source

Product Quantization for Nearest Neighbor Search [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
This paper introduces a product quantization-based approach for approximate nearest neighbor search. The idea is to decompose the space into a Cartesian product of low-dimensional subspaces and to quantize each subspace separately. A vector is represented by a short code composed of its subspace quantization indices.
Jégou, Hervé   +2 more
openaire   +4 more sources

Strict Deformation Quantization via Geometric Quantization in the Bieliavsky Plane

open access: yesAbstract and Applied Analysis, 2020
Using standard techniques from geometric quantization, we rederive the integral product of functions on ℝ2 (non-Euclidian) which was introduced by Pierre Bieliavsky as a contribution to the area of strict quantization.
P. Hurtado, A. Leones, J. B. Moreno
doaj   +1 more source

Identification of Berezin-Toeplitz deformation quantization [PDF]

open access: yes, 2000
We give a complete identification of the deformation quantization which was obtained from the Berezin-Toeplitz quantization on an arbitrary compact Kaehler manifold.
A.   +23 more
core   +1 more source

Projective Clustering Product Quantization

open access: yes, 2021
This paper suggests the use of projective clustering based product quantization for improving nearest neighbor and max-inner-product vector search (MIPS) algorithms. We provide anisotropic and quantized variants of projective clustering which outperform previous clustering methods used for this problem such as ScaNN.
Krishnan, Aditya, Liberty, Edo
openaire   +2 more sources

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