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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 9 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
ESA
2009
Springer
90views Algorithms» more  ESA 2009»
15 years 10 months ago
Storing a Compressed Function with Constant Time Access
We consider the problem of representing, in a space-efficient way, a function f : S → Σ such that any function value can be computed in constant time on a RAM. Specifically, ou...
Jóhannes B. Hreinsson, Morten Krøyer...
ICCV
1998
IEEE
16 years 5 months ago
Minimizing Algebraic Error in Geometric Estimation Problems
This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach is to minim...
Richard I. Hartley
97
Voted
ICCAD
1993
IEEE
81views Hardware» more  ICCAD 1993»
15 years 7 months ago
Inverter minimization in multi-level logic networks
In this paper, we look at the problem of inverter minimization in multi-level logic networks. The network is specified in terms of a set of base functions and the inversion opera...
Alok Jain, Randal E. Bryant
141
Voted
TFS
2008
129views more  TFS 2008»
15 years 1 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin