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Type2 Intervals of Constant Height
"... The algebra of truth values for fuzzy sets of type2, due to Zadeh, contains as subalgebras those of type1 and of intervalvalued fuzzy sets. It also contains many other interesting subalgebras, some of which could possibly serve as a basis of a useful fuzzy set theory. This paper is about such a s ..."
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Cited by 1 (1 self)
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The algebra of truth values for fuzzy sets of type2, due to Zadeh, contains as subalgebras those of type1 and of intervalvalued fuzzy sets. It also contains many other interesting subalgebras, some of which could possibly serve as a basis of a useful fuzzy set theory. This paper is about such a
A finiteinterval constant modulus algorithm
 Proc. ICASSP 02
, 2002
"... A finiteinterval constant modulus algorithm is developed which is vastly simpler than the Analytic Constant Modulus Algorithm and, unlike that algorithm, can claim to minimize a constant modulus criterion. It requires one QR decomposition of a data matrix, followed by a power iteration. Step size b ..."
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Cited by 11 (1 self)
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A finiteinterval constant modulus algorithm is developed which is vastly simpler than the Analytic Constant Modulus Algorithm and, unlike that algorithm, can claim to minimize a constant modulus criterion. It requires one QR decomposition of a data matrix, followed by a power iteration. Step size
Indexing moving points
, 2003
"... We propose three indexing schemes for storing a set S of N points in the plane, each moving along a linear trajectory, so that any query of the following form can be answered quickly: Given a rectangle R and a real value t; report all K points of S that lie inside R at time t: We first present an in ..."
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Cited by 184 (11 self)
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an indexing structure that, for any given constant e> 0; uses OðN=BÞ disk blocks and answers a query in OððN=BÞ 1=2þe þ K=BÞ I/Os, where B is the block size. It can also report all the points of S that lie inside R during a given time interval. A point can be inserted or deleted, or the trajectory of a
Interval Computation of Viswanath's Constant
, 2001
"... Viswanath has shown that the terms of the random Fibonacci sequences defined by t 1 = t 2 = 1, and t n = tn 1 t n 2 for n > 2, where each sign is chosen randomly, increase exponentially in the sense that n p jt n j ! 1:13198824 : : : as n ! 1 with probability 1. Viswanath computed this ap ..."
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this approximation for this limit with oatingpoint arithmetic and provided a roundingerror analysis to validate his computer calculation. In this note, we show how to avoid this roundingerror analysis by using interval arithmetic.
An overview of the Global Historical Climatology Network temperature database
 Bull. Am. Meteorol. Soc
, 1997
"... The Global Historical Climatology Network version 2 temperature database was released in May 1997. This centuryscale dataset consists of monthly surface observations from ~7000 stations from around the world. This archive breaks considerable new ground in the field of global climate databases. The e ..."
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Cited by 165 (7 self)
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for updating the archive at regular intervals so that current climatic conditions can constantly be put into historical perspective. This paper describes these enhancements in detail. 1.
Neural selection and control of visually guided eye movements.
 A. Rev. Neurosci.
, 1999
"... ABSTRACT We review neural correlates of perceptual and motor decisions, examining whether the time they occupy explains the duration and variability of behavioral reaction times. The location of a salient target is identified through a spatiotemporal evolution of visually evoked activation througho ..."
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Cited by 108 (3 self)
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throughout the visual system. Selection of the target leads to stochastic growth of movementrelated activity toward a fixed threshold to generate the gaze shift. For a given image, the neural concomitants of perceptual processing occupy a relatively constant interval so that stochastic variability
Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey
, 1996
"... edictably with stimulus parameters, it is widely held to be the primary variable relating neuronal response to visual experience (Adrian, 1928; Lettvin et al., 1959; Werner and Mountcastle, 1963; Barlow, 1972; Henry et al., 1973). Accordingly, many studies hold a stimulus parameter constant during a ..."
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Cited by 163 (5 self)
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edictably with stimulus parameters, it is widely held to be the primary variable relating neuronal response to visual experience (Adrian, 1928; Lettvin et al., 1959; Werner and Mountcastle, 1963; Barlow, 1972; Henry et al., 1973). Accordingly, many studies hold a stimulus parameter constant during
Polynomial Precise Interval Analysis Revisited
"... We consider a class of arithmetic equations over the complete lattice of integers (extended with − ∞ and ∞) and provide a polynomial time algorithm for computing least solutions. For systems of equations with addition and least upper bounds, this algorithm is a smooth generalization of the Bellman ..."
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Cited by 2 (0 self)
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increase occurs. We apply this algorithm to construct a cubic time algorithm for the class of interval equations using least upper bounds, addition, intersection with constant intervals as well as multiplication.
Results 11  20
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3,883