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Contrastive Representation Learning: A Framework and Review [article]

Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton
2020 arXiv   pre-print
In this paper we provide a comprehensive literature review and we propose a general Contrastive Representation Learning framework that simplifies and unifies many different contrastive learning methods  ...  We also provide a taxonomy for each of the components of contrastive learning in order to summarise it and distinguish it from other forms of machine learning.  ...  Motivated by this, a non-parametric version for the softmax function that correctly identifies the positive for a given query from a set K and contains all negative keys with one positive key can be defined  ... 
arXiv:2010.05113v1 fatcat:xdegcaoarvevdfl4r22pyzqr4e

Contrastive Representation Learning: A Framework and Review

Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton
2020 IEEE Access  
We thank Ting Chen from Google Brain for the helpful comments on an early draft of this paper.  ...  Science Foundation Ireland through the SFI Centre for Research Training in Machine Learning (18/CRT/6183) and the Insight Centre for Data Analytics (SFI/12/RC/2289_P2).  ...  Motivated by this, a non-parametric version for the softmax function that correctly identifies the positive for a given query from a set K and contains all negative keys with one positive key can be defined  ... 
doi:10.1109/access.2020.3031549 fatcat:qohhn2f2tray5ha3iafxbnwp74

A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction [article]

Takanori Fujiwara, Shilpika, Naohisa Sakamoto, Jorji Nonaka, Keiji Yamamoto, Kwan-Liu Ma
2020 arXiv   pre-print
In this paper, we present MulTiDR, a new DR framework that enables processing of time-dependent multivariate data as a whole to provide a comprehensive overview of the data.  ...  With the framework, we employ DR in two steps.  ...  ACKNOWLEDGMENTS This research is sponsored in part by the U.S. National Science Foundation through grant IIS-1741536 and U.S. Department of Energy through grant DE-SC0014917.  ... 
arXiv:2008.01645v2 fatcat:ajtjb3uobbhuhitvlka4dgsaiu

Ridesourcing systems: A framework and review

Hai Wang, Hai Yang
2019 Transportation Research Part B: Methodological  
The proposed framework and the review also suggest many avenues requiring future research.  ...  In this paper, we propose a general framework to describe ridesourcing systems.  ...  We also express our sincere appreciation to the seven anonymous referees for their invaluable comments and suggestions.  ... 
doi:10.1016/j.trb.2019.07.009 fatcat:m5rxzhsxsfaunoep77nsqdhbny

Statistical Frameworks for Time-to-Event Dose-Finding Designs: A Review [article]

Tianjian Zhou, Yuan Ji
2021 arXiv   pre-print
We review statistical frameworks for time-to-event modeling in dose-finding trials and summarize existing designs into two classes: TITE deigns and POD designs.  ...  In dose-finding trials, due to staggered enrollment, it might be desirable to make dose assignment decisions in real-time in the presence of pending toxicity outcomes, for example, when patient accrual  ...  A future direction is to investigate more on these theoretical properties, especially for point-based or parametric designs.  ... 
arXiv:2006.11676v2 fatcat:b5gkuns3nvhsbcknsksv2fbuii

A Review of Data Cleaning Approaches in a Hydrographic Framework with a Focus on Bathymetric Multibeam Echosounder Datasets

Julian Le Deunf, Nathalie Debese, Thierry Schmitt, Romain Billot
2020 Geosciences  
Based on this detailed review, past and future developments are discussed in light of both implementation and test on datasets and metrics used for performances assessment.  ...  For this purpose, a taxonomy is proposed to categorize the whole set of automatic and semi-automatic methods addressing MBES data cleaning.  ...  Parametric approaches are used to estimate the parameters of the assumed distribution, most of the time the mean and standard deviation of a Gaussian distribution, while non-parametric approaches estimate  ... 
doi:10.3390/geosciences10070254 fatcat:egrfjdibmreh5aos5gcjjbzuha

Quasiparticle properties in a density-functional framework

D. Van Neck, S. Verdonck, G. Bonny, P. W. Ayers, M. Waroquier
2006 Physical Review A. Atomic, Molecular, and Optical Physics  
It is based on separating the Green's function into a quasi-particle part and a background part, and expressing only the background part as a functional of the density matrix.  ...  The method can be viewed as a non-trivial extension of the Kohn-Sham scheme (which is embedded as a special case).  ...  II A-II B. See, e.g., [20, 21, 22, 23, 24] for reviews and general papers on the specific use of GF theory in electronic structure problems. In Sec.  ... 
doi:10.1103/physreva.74.042501 fatcat:qzoaflkfivegvknnwpp2q4iy4i

Conceptual Optimal Design of Environmentally Friendly Airliners: A Review of Available Methodologies and their Integration into a Consistent Framework for Everyday Use

Paulo Eduardo Cypriano da Silva Magalhães, Bento Silva de Mattos
2015 International Journal of Sensor Networks and Data Communications  
The present work analyzes some methodologies in order to select a subset of them.  ...  Design tasks based on optimization with noise footprint, direct operational cost, and emission profile or a combination of them as objectives are presented and analyzed.  ...  A subset of them was out selected for integration into a design framework that can be easily run in a desktop computer.  ... 
doi:10.4172/2090-4886.1000126 fatcat:e3dsnn4omvfpln7ftdgyhzurae

A Review on Dimension Reduction

Yanyuan Ma, Liping Zhu
2012 International Statistical Review  
We also discuss some unsolved problems in this area for potential future research.  ...  well as encounters unique challenges in comparison with the variable selection approach.  ...  Acknowledgements The authors thank the editor's interest in dimension reduction which initiated this review.  ... 
doi:10.1111/j.1751-5823.2012.00182.x pmid:23794782 pmcid:PMC3685755 fatcat:lin3oozxgzezlokipchefowen4

Unified framework to determine Gaussian states in continuous-variable systems

Fernando Nicacio, Andrea Valdés-Hernández, Ana P. Majtey, Fabricio Toscano
2017 Physical Review A  
In the case of global pure states, knowledge of the reduced states in a given bipartition of a multipartite quantum system bears information on the entanglement in such bipartition.  ...  Simply one-mode metaplectic evolutions, such rotations, squeezing and shear transformations, in addition to a single two-mode rotation, allows to determine all the covariance matrix elements of a n-mode  ...  APM acknowledges the Argentinian agency SeCyT-UNC and CONICET for financial support. We are grateful to Stephen P. Walborn, Antonio Zelaquett Khoury and Gabriel H. Aguilar for fruitful discussions.  ... 
doi:10.1103/physreva.96.042341 fatcat:vrpswouwdzdkxdxjbrr3or6qxu

Statistical mechanics framework for static granular matter

Silke Henkes, Bulbul Chakraborty
2009 Physical Review E  
In this framework, Point J characterized by a diverging stiffness of the pressure fluctuations.  ...  So far, however, there exists no theoretical framework which can explain the observations in a unified manner beyond the phenomenological jamming diagram [1].  ...  BC acknowledges the hospitality of the Aspen Center for Physics, where some of this work was done.  ... 
doi:10.1103/physreve.79.061301 pmid:19658495 fatcat:um6adkj5cvcplifl5d7xynwd3q

Photon Temporal Modes: A Complete Framework for Quantum Information Science

B. Brecht, Dileep V. Reddy, C. Silberhorn, M. G. Raymer
2015 Physical Review X  
Field-orthogonal temporal modes of photonic quantum states provide a new framework for quantum information science (QIS).  ...  We show that the three main requirements to construct a valid framework for QIS -- the controlled generation of resource states, the targeted and highly efficient manipulation of temporal modes and their  ...  FIG. 8 . 8 (a) Non-mode-selective detection of one PDC photon generally projects its sibling into a mixed state.  ... 
doi:10.1103/physrevx.5.041017 fatcat:hrghwk3ppvfbfdza2t2mimb4xe

A generic framework for colour texture segmentation

Padmapriya Nammalwar, Ovidiu Ghita, Paul F. Whelan
2010 Sensor Review  
Secondly, a non-parametric statisti cal test was followed for texture comparison.  ...  Non-parametric feature distributions were used for texture de scription.  ...  Appendix E Results -Method-I A P P E N D I X F. R E S U L T S -M E T H O D -I I F .2 R e s u lts u s in g D C T a n d co lo u r fe a tu r e s A P P E N D I X G.  ... 
doi:10.1108/02602281011010817 fatcat:yc6h7u5ounbn5ps62emu3cnjlu

A Review on Variable Selection in Regression Analysis

Loann Desboulets
2018 Econometrics  
Here, we provide a review of main methods and state-of-the art extensions as well as a topology of them over a wide range of model structures (linear, grouped, additive, partially linear and non-parametric  ...  We provide explanations for which methods to use for different model purposes and their key differences. We also review two methods for improving variable selection in the general sense.  ...  A penalty is imposed on the parametric part to select variables and splines are used for non-parametric estimation.  ... 
doi:10.3390/econometrics6040045 fatcat:f247og5jcjbadcui3xt2mwkime

A Review of Changepoint Detection Models [article]

Yixiao Li, Gloria Lin, Thomas Lau, Ruochen Zeng
2019 arXiv   pre-print
Finally, we try to go a bit further in the theory and look into future research directions.  ...  In this paper, we firstly summarize the definition and in-depth implication of the changepoint detection.  ...  As for future research directions, the academia is now heading to find more methods based on non-parametric model-free algorithms to detect change points, such as the single spectrum method, direct density  ... 
arXiv:1908.07136v1 fatcat:yytucq6qbvbo5nh6vvp3te5wju
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