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Strong Peak Points and . . .

by Han Ju Lee , 2007
"... Let Cb(K) be the set of all bounded continuous (real or complex) functions on a complete metric space K and A a closed subspace of Cb(K). Using the variational method, it is shown that the set of all strong peak functions in A is dense if and only if the set of all strong peak points is a norming ..."
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Let Cb(K) be the set of all bounded continuous (real or complex) functions on a complete metric space K and A a closed subspace of Cb(K). Using the variational method, it is shown that the set of all strong peak functions in A is dense if and only if the set of all strong peak points is a norming

Peak Point Theorems for Uniform Algebras on Smooth Manifolds

by John T. Anderson, Alexander J. Izzo
"... It was once conjectured that if A is a uniform algebra on its maximal ideal space X, and if each point of X is a peak point for A, then A = C(X). This peak point conjecture was disproved by Brian Cole in 1968. However, Anderson and Izzo showed that the peak point conjecture does hold for uniform al ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
It was once conjectured that if A is a uniform algebra on its maximal ideal space X, and if each point of X is a peak point for A, then A = C(X). This peak point conjecture was disproved by Brian Cole in 1968. However, Anderson and Izzo showed that the peak point conjecture does hold for uniform

BOUNDARIES AND PEAK POINTS FOR α-LIPSCHITZ OPERATOR ALGEBRAS

by Ali Shokri, Abbas Ali Shokri - ACTA UNIVERSITATIS APULENSIS , 2011
"... In a recent paper by A.A. Shokri and et al [9], a α-Lipschitz operator from a compact metric space X into a unital commutative Banach algebra B is defined. Now in this work, we determine the Shilov and Choquet boundaries and the set of peak points of α-Lipschitz operator algebras. Also we define s ..."
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In a recent paper by A.A. Shokri and et al [9], a α-Lipschitz operator from a compact metric space X into a unital commutative Banach algebra B is defined. Now in this work, we determine the Shilov and Choquet boundaries and the set of peak points of α-Lipschitz operator algebras. Also we define

A blind audio watermarking scheme using peak point extraction

by Author(s Foo, Say Wei Xue, Feng Li, M. A Blind Audio, Foo Say Wei, Xue Feng, Li Mengyuan - IEEE Int. Symp. on Circuits and Systems
"... watermarking scheme using peak point extraction. IEEE International Symposium on Circuits and Systems, ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
watermarking scheme using peak point extraction. IEEE International Symposium on Circuits and Systems,

PEAK POINTS FOR PSEUDOCONVEX DOMAINS: A SURVEY

by Alan Noell , 2008
"... ..."
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Abstract not found

Loopy belief propagation for approximate inference: An empirical study. In:

by Kevin P Murphy , Yair Weiss , Michael I Jordan - Proceedings of Uncertainty in AI, , 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" -the use of Pearl's polytree algorithm in a Bayesian network with loops -can perform well in the context of error-correcting codes. The most dramatic instance of this is the near Shannon-limit performanc ..."
Abstract - Cited by 676 (15 self) - Add to MetaCart
. That is, we replaced the reference to >.� ) in and similarly for 11"�) in Equation 3, where 0 :::; J.l :::; 1 is the momentum term. It is easy to show that if the modified system of equations converges to a fixed point F, then F is also a fixed point of the original system (since if>.� ) = >

STRONG PEAK POINTS AND STRONGLY NORM ATTAINING POINTS WITH APPLICATIONS TO DENSENESS AND POLYNOMIAL NUMERICAL INDICES

by Jaegil Kim , Han Ju Lee , 2008
"... Using the variational method, it is shown that the set of all strong peak functions in a closed algebra A of Cb(K) is dense if and only if the set of all strong peak points is a norming subset of A. As a corollary we can induce the denseness of strong peak functions on other certain spaces. In case ..."
Abstract - Cited by 5 (3 self) - Add to MetaCart
Using the variational method, it is shown that the set of all strong peak functions in a closed algebra A of Cb(K) is dense if and only if the set of all strong peak points is a norming subset of A. As a corollary we can induce the denseness of strong peak functions on other certain spaces

peaks ∗

by L. Desmet, I. Gijbels
"... We look into the problem of estimating a regression function that exhibits peaks, i.e. discontinuities in the first derivative. In the neighbourhood of such a discontinuity we investigate the behaviour of the local linear fit and find that it is not consistent for estimating the first derivative, an ..."
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We look into the problem of estimating a regression function that exhibits peaks, i.e. discontinuities in the first derivative. In the neighbourhood of such a discontinuity we investigate the behaviour of the local linear fit and find that it is not consistent for estimating the first derivative

FPGAs vs. CPUs: trends in peak floating-point performance

by Keith Underwood - in Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays
"... Moore’s Law states that the number of transistors on a de-vice doubles every two years; however, it is often (mis)quoted based on its impact on CPU performance. This important corollary of Moore’s Law states that improved clock fre-quency plus improved architecture yields a doubling of CPU performan ..."
Abstract - Cited by 95 (3 self) - Add to MetaCart
performance every 18 months. This paper examines the im-pact of Moore’s Law on the peak floating-point performance of FPGAs. Performance trends for individual operations are analyzed as well as the performance trend of a common in-struction mix (multiply accumulate). The important result is that peak FPGA

Theoretical Risks and Tabular Asterisks: Sir Karl and Sir Ronald and The Slow progress OF SOFT PSYCHOLOGY

by Paul E. Meehl - J CONSULTING AND CLINICAL PSYCHOLOGY , 1978
"... Theories in “soft” areas of psychology lack the cumulative character of scientific knowledge. They tend neither to be refuted nor corroborated, but instead merely fade away as people lose interest. Even though intrinsic subject matter difficulties (20 listed) contribute to this, the excessive relian ..."
Abstract - Cited by 205 (13 self) - Add to MetaCart
complex, causally uninterpretable outcomes of statistical power functions. Multiple paths to estimating numerical point values (“consistency tests”) are better, even if approximate with rough tolerances; and lacking this, ranges, orderings, second-order differences, curve peaks and valleys, and function
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