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Global optimization
Known as:
Global minimization
, Global optimisation
, Local minimization
Global optimization is a branch of applied mathematics and numerical analysis that deals with the global optimization of a function or a set of…
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AIMMS
AMPL
Algorithm
Ancestral reconstruction
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Local Contrast and Mean based Thresholding Technique in Image Binarization
O. Singh
,
O. James
,
Tejmani Sinam
2012
Corpus ID: 16710285
is a process of separation of pixel values of an input image into two pixel values like white as background and black as…
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2010
2010
The Research of Internet of Things' Supporting Technologies Which Face the Logistics Industry
Yuqiang Chen
,
Jian-Lan Guo
,
Xuan-Zi Hu
International Conference on Computational…
2010
Corpus ID: 16070175
This paper base on the application of the Internet of things in the logistics industry as the breakthrough point, to investigate…
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2008
2008
The end-to-end rate control in multiple-hop wireless networks: Cross-layer formulation and optimal allocation
Chengnian Long
,
Bo Li
,
Qian Zhang
,
Bin Zhao
,
Bo Yang
,
Xin-Ping Guan
IEEE Journal on Selected Areas in Communications
2008
Corpus ID: 2458745
In this paper, we study the theoretical problem of the end-to-end rate assignment for multi-hop wireless networks. Specifically…
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2008
2008
A New Evolutionary Algorithm for Cluster Analysis
B. Firouzi
,
T. Niknam
,
M. Nayeripour
2008
Corpus ID: 10410221
(cid:3) Abstract — Clustering is a very well known technique in data mining. One of the most widely used clustering techniques is…
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2006
2006
Recognizing heuman actions based on motion information and SVM
Hongying Meng
,
Nick E. Pears
,
Chris Bailey
2006
Corpus ID: 8424456
In this paper, we propose a new system for human action recognition with a view to applications in security systems, man-machine…
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2004
2004
Finite state machine-based optimization of data parallel regular domain problems applied in low-level image processing
F. Seinstra
,
D. Koelma
,
Andrew D. Bagdanov
IEEE Transactions on Parallel and Distributed…
2004
Corpus ID: 1274077
A popular approach to providing nonexperts in parallel computing with an easy-to-use programming model is to design a software…
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1998
1998
Sequential Monte Carlo methods for optimisation of neural network models
J. Freitas
,
M. Niranjan
,
A. Gee
,
A. Doucet
1998
Corpus ID: 15959772
We discuss a novel strategy for training neural networks using sequential Monte Carlo algorithms and propose a new hybrid…
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1997
1997
Surface Recovery from Range Images Using Curvature and Motion Consistency
G. Soucy
Computer Vision and Image Understanding
1997
Corpus ID: 41570756
A key problem in the recovery of scene descriptions from multiple views is the fusion of information from different vantage…
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1979
1979
The Indefinite Quadratic Programming Problem
Paul F. Kough
Operational Research
1979
Corpus ID: 40663081
We develop several algorithms that obtain the global optimum to the indefinite quadratic programming problem. A generalized…
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Highly Cited
1977
Highly Cited
1977
Cluster Analysis Using Seed Points and Density-Determined Hyperspheres as an Aid to Global Optimization
A. A. Torn
IEEE Transactions on Systems, Man and Cybernetics
1977
Corpus ID: 24430430
A model for finding the local optima of a multimodal function defined in a region A ¿ Rn is proposed. The method uses a local…
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