Piecewise linear continuation

Known as: Piecewise linear 
Simplicial continuation, or piecewise linear continuation (Allgower and Georg), is a one-parameter continuation method which is well suited to small… (More)
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Topic mentions per year

Topic mentions per year

1959-2017
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Papers overview

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2006
2006
We present an efficient feature selection algorithm for the general regression problem, which utilizes a piecewise linear… (More)
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Highly Cited
2005
Highly Cited
2005
This work presents a study of three important issues of the color pixel classification approach to skin segmentation: color… (More)
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Highly Cited
2002
Highly Cited
2002
For discrete-time linear time invariant systems with constraints on inputs and states, we develop an algorithm to determine… (More)
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2001
2001
Piecewise linear (PL) modelling is often used to approximate the behavior of nonlinear circuits. One of the possible PL modelling… (More)
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Highly Cited
2001
Highly Cited
2001
Classical least squares regression may be viewed as a natural way of extending the idea of estimating an unconditional mean… (More)
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Highly Cited
1999
Highly Cited
1999
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and… (More)
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Highly Cited
1998
Highly Cited
1998
This paper is concerned with a specific finite element strategy for solving elliptic boundary value problems in domains with… (More)
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Highly Cited
1998
Highly Cited
1998
We give a simple combinatorial algorithm that computes a piecewise linear approx imation of a smooth surface from a nite set of… (More)
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Highly Cited
1992
Highly Cited
1992
Some empirical learning tasks are concerned with predicting values rather than the more familiar categories. This paper describes… (More)
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Highly Cited
1973
Highly Cited
1973
Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image… (More)
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