Results 301 to 303 of about 38,177 (303)

Rough Kernel Clustering Algorithm with Adaptive Parameters

2011
Through analyzing kernel clustering algorithm and rough set theory, a novel clustering algorithm, Rough kernel k-means clustering algorithm with adaptive parameters, is proposed for clustering analysis in this paper. By using Mercer kernel functions, we can map the data in the original space to a highdimensional feature space, in which we can use rough
Tao Zhou, Jingxian Ma, Huiling Lu, Shouheng Tuo, Yang Deren   +4 more
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On a Class of Singular Integral Operators With Rough Kernels

Canadian Mathematical Bulletin, 2006
AbstractIn this paper, we study the Lp mapping properties of a class of singular integral operators with rough kernels belonging to certain block spaces. We prove that our operators are bounded on Lp provided that their kernels satisfy a size condition much weaker than that for the classical Calderón–Zygmund singular integral operators.
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Rough estimates on the scalar heat kernel

2011
This chapter establishes rough estimates on the heat kernel rb,tX for the scalar hypoelliptic operator AbX on X defined in the preceding chapter. By rough estimates, this chapter refers to just the uniform bounds on the heat kernel. The chapter also obtains corresponding bounds for the heat kernels associated with operators AbX and another AbX over ̂X.
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