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Dead-end elimination

Known as: Dead end elimination, Dee 
The dead-end elimination algorithm (DEE) is a method for minimizing a function over a discrete set of independent variables. The basic idea is to… Expand
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Highly Cited
2014
Highly Cited
2014
This paper addresses the challenge of establishing a bridge between deep convolutional neural networks and conventional object… Expand
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Highly Cited
2013
Highly Cited
2013
By obtaining complete solutions, satisfying all the relevant simultaneous differential equations and boundary conditions… Expand
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Highly Cited
2007
Highly Cited
2007
The sequence database is a set of data sequences, each of which is an ordered list of elements [1]. Sequences of stock prices… Expand
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Highly Cited
2007
Highly Cited
2007
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this… Expand
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Highly Cited
2003
Highly Cited
2003
Throughout the recorded history of Mars, liquid water has distinctly shaped its landscape, including the prominent circum-Chryse… Expand
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Highly Cited
2000
Highly Cited
2000
Dead-end elimination (DEE) is a powerful theorem for selecting optimal protein side-chain orientations from a large set of… Expand
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Highly Cited
1997
Highly Cited
1997
Trajectory synthesis algorithms that are key to the center ‐terminal radar approach control automation system (CTAS) developed at… Expand
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1982
1982
W opraciu o bezpośrednie obserwacje i wizualne znakowanie, w latach 1969-1971 i 1972-1976, na terenie doświadczalnym Stacji… Expand
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Highly Cited
1978
Highly Cited
1978
Describes the physical characteristics, usages, and probable functions of 11 vocali- zations of adult Black-capped Chickadees and… Expand
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Highly Cited
1932
Highly Cited
1932
The experiments reported in this paper are part of a study of the conditions which affect the reproduction of visually perceived… Expand
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