Treffer 1 - 9 von 9

1

Generalized Majorization-Minimization for Non-Convex Optimization
Pan Zhou ; Yi Yang ; Hu Zhang ; et al.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. :4257-4263

Computer Vision: Big Dat... Graphics and Human Compu... Machine Learning: Data M... 0211 other engineering a... 0202 electrical engineer... 02 engineering and techn...
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2

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images
WANG, Hao ; SAHOO, Doyen ; LIU, Chenghao ; et al.
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :11564-11573

Big Data FOS: Computer and inform... Databases and Informatio... Retrieval Computer Vision and Patt... Computer Science - Compu...
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3

A new optimization in SDP-based learning
Hu, En-Liang ; Wang, Bo
In Neurocomputing 6 November 2019 365:10-20

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4

Implementing a proximal algorithm for some nonlinear multicommodity flow problems
OUOROU, Adam
Multicommodity flows and network designNetworks (New York, NY). 49(1):18-27

Control theory, operatio... Automatique, recherche o... Sciences exactes et tech... Exact sciences and techn... Sciences appliquees Applied sciences
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5

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7

Numerical Evaluation of SBmethod
Christoph Helmberg ; The Pennsylvania State University CiteSeerX Archives
ftp://ftp.zib.de/pub/zib-publications/reports/ZR-01-37.ps

semidenite programming large scale methods computational semide- nite relaxations
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8

A sufficient condition for convergences of adam and rmsprop
Zou, Fangyu ; Shen, Li ; Jie, Zequn ; et al.

Big Data Large Scale Methods Optimization Methods
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9

STUDIES ON THE MANUFACTURE OF LOW DEGREE OF POLYMERIZATION PULPS BY IRRADIATION. 3. THE IRRADIATION METHOD FOR PULPS ON A LARGE SCALE.
Imamura, R
Kami Pa Gikyoshi 25: No. 9, 465-74(Sep 1971).; Other Information: Orig. Receipt Date: 30-JUN-73; Bib. Info. Source: JA (JA)

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