Results 41 to 50 of about 245,725 (186)
Online Coresets for Clustering with Bregman Divergences
CoRR, 2020 Work in ...
Rachit Chhaya +3 more
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On Bregman Distances and Divergences of Probability Measures [PDF]
IEEE Transactions on Information Theory, 2012 12 two-column pages, 2 ...
Wolfgang Stummer, Igor Vajda
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Matrix Nearness Problems with Bregman Divergences [PDF]
SIAM Journal on Matrix Analysis and Applications, 2008 This paper discusses a new class of matrix nearness problems that measure approximation error using a directed distance measure called a Bregman divergence. Bregman divergences offer an important generalization of the squared Frobenius norm and relative entropy, and they all share fundamental geometric properties.
Inderjit S. Dhillon, Joel A. Tropp
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Learning to approximate a Bregman divergence [PDF]
, 2020 Bregman divergences generalize measures such as the squared Euclidean distance and the KL divergence, and arise throughout many areas of machine learning.
Saligrama, Venkatesh +4 more
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CLUSTERING-BASED APPROACHES TO THE EXPLORATION OF SPATIO-TEMPORAL DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 As one spatio-temporal data mining task, clustering helps the exploration of patterns in the data by grouping similar elements together. However, previous studies on spatial or temporal clustering are incapable of analysing complex patterns in spatio ...
X. Wu +3 more
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Bregman divergence based em algorithm and its application to classical and quantum rate distortion theory [PDF]
, 2022 We formulate em algorithm in the framework of Bregman divergence, which is a general problem setting of information geometry. That is, we address the minimization problem of the Bregman divergence between an exponential subfamily and a mixture subfamily ...
Hayashi, Masahito, Masahito Hayashi
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Regularised transfer learning for hyperspectral image classification
IET Computer Vision, 2019 This study presents a transfer learning method for addressing the insufficient sample problem in hyperspectral image classification. In order to find common feature representation for both the source domain and target domain, we introduce a ...
Qian Shi +3 more
doaj +1 more source
Regression using localised functional Bregman divergence [PDF]
, 2021 This paper is concerned with a unified approach to estimating regression methods based on a certain divergence and its localisation. Some past papers have demonstrated theoretically and numerically that infusing a little localisation in the likelihood ...
Penev, S ; https://orcid.org/, Naito, K
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Preconditioner Design via Bregman Divergences [PDF]
SIAM Journal on Matrix Analysis and ApplicationszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreas A. Bock, Martin S. Andersen 0001
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TESOL Quarterly, EarlyView.Abstract Despite calls from critical applied linguists to decolonize ELT materials that reproduce colonial ideologies, teachers working under neoliberal constraints and attendant time pressures often have to deliver textbook content as is rather than revising it.
Steven Yeung, John Gray
wiley +1 more source