Results 1  10
of
574,542
Fast IEEE Rounding for Division by Functional Iteration
, 1996
"... A class of high performance division algorithms is functional iteration. Division by functional iteration uses multiplication as the fundamental operator. The main advantage of division by functional iteration is quadratic convergence to the quotient. However, unlike nonrestoring division algorithm ..."
Abstract

Cited by 5 (0 self)
 Add to MetaCart
A class of high performance division algorithms is functional iteration. Division by functional iteration uses multiplication as the fundamental operator. The main advantage of division by functional iteration is quadratic convergence to the quotient. However, unlike nonrestoring division
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 1996
"... We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived by minimizing a generalized Bayes/MDL criterion using the variational principle. The algorithm is guaranteed to converge to a local minimum and c ..."
Abstract

Cited by 763 (20 self)
 Add to MetaCart
We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived by minimizing a generalized Bayes/MDL criterion using the variational principle. The algorithm is guaranteed to converge to a local minimum
Adaptive clustering for mobile wireless networks
 IEEE Journal on Selected Areas in Communications
, 1997
"... This paper describes a selforganizing, multihop, mobile radio network, which relies on a code division access scheme for multimedia support. In the proposed network architecture, nodes are organized into nonoverlapping clusters. The clusters are independently controlled and are dynamically reconfig ..."
Abstract

Cited by 552 (11 self)
 Add to MetaCart
This paper describes a selforganizing, multihop, mobile radio network, which relies on a code division access scheme for multimedia support. In the proposed network architecture, nodes are organized into nonoverlapping clusters. The clusters are independently controlled and are dynamically
The fundamental properties of natural numbers
 Journal of Formalized Mathematics
, 1989
"... Summary. Some fundamental properties of addition, multiplication, order relations, exact division, the remainder, divisibility, the least common multiple, the greatest common divisor are presented. A proof of Euclid algorithm is also given. MML Identifier:NAT_1. WWW:http://mizar.org/JFM/Vol1/nat_1.h ..."
Abstract

Cited by 675 (73 self)
 Add to MetaCart
Summary. Some fundamental properties of addition, multiplication, order relations, exact division, the remainder, divisibility, the least common multiple, the greatest common divisor are presented. A proof of Euclid algorithm is also given. MML Identifier:NAT_1. WWW:http://mizar.org/JFM/Vol1/nat_1
Finding community structure in networks using the eigenvectors of matrices
, 2006
"... We consider the problem of detecting communities or modules in networks, groups of vertices with a higherthanaverage density of edges connecting them. Previous work indicates that a robust approach to this problem is the maximization of the benefit function known as “modularity ” over possible div ..."
Abstract

Cited by 494 (0 self)
 Add to MetaCart
divisions of a network. Here we show that this maximization process can be written in terms of the eigenspectrum of a matrix we call the modularity matrix, which plays a role in community detection similar to that played by the graph Laplacian in graph partitioning calculations. This result leads us to a
A Mechanically Checked Proof of the Correctness of the Kernel of the AMD5K86 FloatingPoint Division Algorithm
 IEEE Transactions on Computers
, 1996
"... We describe a mechanically checked proof of the correctness of the kernel of the floating point division algorithm used on the AMD5K 86 microprocessor. The kernel is a nonrestoring division algorithm that computes the floating point quotient of two double extended precision floating point numbers, ..."
Abstract

Cited by 37 (11 self)
 Add to MetaCart
We describe a mechanically checked proof of the correctness of the kernel of the floating point division algorithm used on the AMD5K 86 microprocessor. The kernel is a nonrestoring division algorithm that computes the floating point quotient of two double extended precision floating point numbers
A New NonRestoring Square Root Algorithm and Its VLSI Implementations
 PROC. OF 1996 IEEE INTERNATIONAL CONFERENCE ON COMPUTER DESIGN: VLSI IN COMPUTERS AND PROCESSORS
, 1996
"... In this paper, we present a new nonrestoring square root algorithm that is very efficient to implement. The new algorithm presented here has the following features unlike other square root algorithms. First, the focus of the "nonrestoring" is on the "partial remainder", not on & ..."
Abstract

Cited by 14 (4 self)
 Add to MetaCart
In this paper, we present a new nonrestoring square root algorithm that is very efficient to implement. The new algorithm presented here has the following features unlike other square root algorithms. First, the focus of the "nonrestoring" is on the "partial remainder
A New NonRestoring Square Root Algorithm and Its VLSI Implementations
"... In this paper, we present a new nonrestoring square root algorithm that is very efficient to implement. The new algorithm presented here has the following features unlike other square root algorithms. First, the focus of the “nonrestoring” is on the “partial remainder”, not on “each bit of the squa ..."
Abstract
 Add to MetaCart
In this paper, we present a new nonrestoring square root algorithm that is very efficient to implement. The new algorithm presented here has the following features unlike other square root algorithms. First, the focus of the “nonrestoring” is on the “partial remainder”, not on “each bit
A New NonRestoring Square Root Algorithm and Its VLSI Implementations
 Proc. of 1996 IEEE International Conference on Computer Design: VLSI in Computers and Processors
, 1996
"... In this paper, we present a new nonrestoring square root algorithm that is very efficient to implement. The new algorithm presented here has the following features unlike other square root algorithms. First, the focus of the "nonrestoring " is on the "partial remainder", not on ..."
Abstract
 Add to MetaCart
In this paper, we present a new nonrestoring square root algorithm that is very efficient to implement. The new algorithm presented here has the following features unlike other square root algorithms. First, the focus of the "nonrestoring " is on the "partial remainder
Insertion sequences
 Microbiol Mol. Biol. Rev
, 1998
"... These include: Receive: RSS Feeds, eTOCs, free email alerts (when new articles cite this article), more» Downloaded from ..."
Abstract

Cited by 426 (3 self)
 Add to MetaCart
These include: Receive: RSS Feeds, eTOCs, free email alerts (when new articles cite this article), more» Downloaded from
Results 1  10
of
574,542