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Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions [article]

Artem Babenko, Victor Lempitsky
2014 arXiv   pre-print
The top-performing systems for billion-scale high-dimensional approximate nearest neighbor (ANN) search are all based on two-layer architectures that include an indexing structure and a compressed datapoints  ...  Here we introduce and evaluate two approximate nearest neighbor search systems that both exploit the synergy of product quantization processes in a more efficient way.  ...  INTRODUCTION The amount of data in multimedia applications grows rapidly and the methods for approximate nearest neighbor search (ANN) now routinely tackle billion-scale problems in high-dimensions.  ... 
arXiv:1404.1831v1 fatcat:2v3z64lpqvbgvczllct34lgazi

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings [article]

Yifan Wang
2022 arXiv   pre-print
Then we talk about recent approaches on designing the indexes and operators for highly efficient similarity query processing on top of embeddings (or more generally, high dimensional data).  ...  So for measuring data similarities semantically, neural embedding is applied.  ...  Product quantization based Vector quantization (VQ) [79] is a powerful tool to reduce the computation in high-dimensional nearest neighbor search.  ... 
arXiv:2204.07922v1 fatcat:u5osyghs6vgppnj5gpnrzhae5y

Composite Quantization

Jingdong Wang, Ting Zhang
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This paper studies the compact coding approach to approximate nearest neighbor search. We introduce a composite quantization framework.  ...  In addition, we demonstrate the superior performances in other three applications: combination with inverted multi-index, quantizing the query for mobile search, and inner-product similarity search.  ...  in memory for large scale quantized centers.  ... 
doi:10.1109/tpami.2018.2835468 pmid:29993737 fatcat:ncejlwqygbdo5hw5qtmacukh7u

Sparse composite quantization

Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
The quantization techniques have shown competitive performance in approximate nearest neighbor search.  ...  However, we have observed that the runtime cost of computing the distance table in composite quantization, which is used as a lookup table for fast distance computation, becomes nonnegligible in real applications  ...  Bilayer product quantization [3] improves the efficiency of distance computation within the inverted multiindex framework.  ... 
doi:10.1109/cvpr.2015.7299085 dblp:conf/cvpr/ZhangQTW15 fatcat:etly6mfuprcafpajnbaq5cuzia

A Biresolution Spectral Framework for Product Quantization

Lopamudra Mukherjee, Jiming Peng, Sathya N. Ravi, Vikas Singh
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Product quantization (PQ) (and its variants) has been effectively used to encode high-dimensional data into compact codes for many problems in vision.  ...  In principle, PQ decomposes the given data into a number of lower-dimensional subspaces where the quantization proceeds independently for each subspace.  ...  The goodness of the approximate nearest neighbor search is measured in terms of Recall.  ... 
doi:10.1109/cvpr.2018.00351 dblp:conf/cvpr/MukherjeeRPS18 fatcat:t4dx25kltngqxjexeqnu2vhjty

Geometrical and topological aspects of graphene and related materials

A Cortijo, F Guinea, M A H Vozmediano
2012 Journal of Physics A: Mathematical and Theoretical  
Graphene, a two-dimensional crystal made of carbon atoms, provides a new and unexpected bridge between low and high-energy physics.  ...  The field has evolved very fast and very good reviews are already available in the literature.  ...  The nearest-neighbor tight binding approach reduces the problem to the diagonalization of the one-electron Hamiltonian H = −t <i,j> a + i a j (1) where the sum is over pairs of nearest neighbors atoms  ... 
doi:10.1088/1751-8113/45/38/383001 fatcat:eas4qunpkrfgxnca6xawxhjxfi

Graphene: The New Two-Dimensional Nanomaterial

C. N. R. Rao, A. K. Sood, K. S. Subrahmanyam, A. Govindaraj
2009 Angewandte Chemie International Edition  
[23] In this process, the solvothermal High-resolution TEM images of a) solution-cast monolayer and b) solution-cast bilayer graphenes (scale bar 500 nm). c) Electron diffraction pattern of the monolayer  ...  [54] Chemical reduction of exfoliated graphite oxide by reducing agents, such as hydra- zine and dimethylhydrazine appears to be the promising strategy for the large-scale production of graphene.  ... 
doi:10.1002/anie.200901678 pmid:19784976 fatcat:yb3kizyqv5ctbnotsufnjogboi

Finding a roadmap to achieve large neuromorphic hardware systems

Jennifer Hasler, Bo Marr
2013 Frontiers in Neuroscience  
Neuromorphic systems are gaining increasing importance in an era where CMOS digital computing techniques are reaching physical limits.  ...  Scaling of energy efficiency, performance, and size will be discussed as well as how the implementation and application space of Neuromorphic systems are expected to evolve over time.  ...  ACKNOWLEDGMENTS A successful roadmap can neither be made in isolation nor made by undirected group/committee discussions.  ... 
doi:10.3389/fnins.2013.00118 pmid:24058330 pmcid:PMC3767911 fatcat:hnj2gzzabfat3cq3rc2il3nigq

Cold molecules: Progress in quantum engineering of chemistry and quantum matter

John L. Bohn, Ana Maria Rey, Jun Ye
2017 Science  
Cooling atoms to ultralow temperatures has produced a wealth of opportunities in fundamental physics, precision metrology, and quantum science.  ...  ACKNOWLEDGMENTS We gratefully acknowledge many of our colleagues, both in and out of JILA, for their collaborations, discussions, and suggestions. We thank D. Reens, J. Bollinger, and R.  ...  Nandkishore for their comments on the paper.  ... 
doi:10.1126/science.aam6299 pmid:28883071 fatcat:kiqhfgatsfdjzlq6qj3z7zqepy

Colloquium: The transport properties of graphene: An introduction

N. M. R. Peres
2010 Reviews of Modern Physics  
In the theoretical description simple intuitive models are used to illustrate important points on the transport properties of graphene.  ...  The concept of chirality, stemming from the massless Dirac nature of the low energy physics of the material, is shown to be instrumental in understanding its transport properties: the conductivity minimum  ...  A special thanks goes to ALCRP, FCRP, and MAIC, for their continuous support.  ... 
doi:10.1103/revmodphys.82.2673 fatcat:djonnl363beytavki6mpx3mwde

High-throughput Design of Magnetic Materials [article]

Hongbin Zhang
2020 arXiv   pre-print
In this review, after a brief introduction to the major functionalities of magnetic materials, we demonstrated the fundamental properties which can be tackled via high-throughput DFT calculations, with  ...  Successful case studies are summarized on several classes of magnetic materials, followed by bird-view perspectives for the future.  ...  Thus, the direct exchange is short ranged, which is dominant for the coupling between the first nearest neighbors.  ... 
arXiv:2008.12907v1 fatcat:kqcvjjioxvfyppad32hf6oepfm

The International Conference on Theoretical Physics `Dubna-Nano2008'

V A Osipov, V O Nesterenko, Y M Shukrinov
2008 Journal of Physics, Conference Series  
We manifest the difference of these models for the branching at I = Ic and in the hysteretic region.  ...  in CVC.  ...  Three dimensional particular equation of motion is obtained in the presence of the propagating electromagnetic wave by the approximation of the nearest neighbor interaction of dipoles.  ... 
doi:10.1088/1742-6596/129/1/011001 fatcat:n2ywxfc2wbbtvofiodjxe3b7eq

International Conference on Theoretical Physics: Dubna-Nano 2012

Vladimir Osipov, Valentin Nesterenko, Yury M Shukrinov
2012 Journal of Physics, Conference Series  
We manifest the difference of these models for the branching at I = Ic and in the hysteretic region.  ...  in CVC.  ...  Three dimensional particular equation of motion is obtained in the presence of the propagating electromagnetic wave by the approximation of the nearest neighbor interaction of dipoles.  ... 
doi:10.1088/1742-6596/393/1/011001 fatcat:2gnbdziuxze5fb75cnt7lyxezq

International Conference on Theoretical Physics Dubna-Nano 2010

Vladimir Osipov, Valentin Nesterenko, Yury Shukrinov
2010 Journal of Physics, Conference Series  
We manifest the difference of these models for the branching at I = Ic and in the hysteretic region.  ...  in CVC.  ...  Three dimensional particular equation of motion is obtained in the presence of the propagating electromagnetic wave by the approximation of the nearest neighbor interaction of dipoles.  ... 
doi:10.1088/1742-6596/248/1/011001 fatcat:2kevj3aiozf3bcxbtxvkwn26mm

Linear Scaling Quantum Transport Methodologies [article]

Zheyong Fan, Jose Hugo Garcia, Aron W. Cummings, Jose Eduardo Barrios-Vargas, Michel Panhans, Ari Harju, Frank Ortmann, Stephan Roche
2020 arXiv   pre-print
The simulation of quantum transport in realistic materials calls for the development of linear scaling, or order-N, numerical methods, which then become enabling tools for guiding experimental research  ...  In recent years, predictive computational modeling has become a cornerstone for the study of fundamental electronic, optical, and thermal properties in complex forms of condensed matter, including Dirac  ...  The strength of the disorder in units of the nearest neighbor transfer integral is given by W.  ... 
arXiv:1811.07387v3 fatcat:6c6wnlbxenaivhkzlh55fxb7rm
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