Sciweavers

602 search results - page 27 / 121
» gradient vector flow
Sort
View
PPOPP
1993
ACM
14 years 1 months ago
Experience with Fine-Grain Synchronization in MIMD Machines for Preconditioned Conjugate Gradient
This paper discusses our experience with fine-grain synchronization for a variant of the preconditioned conjugate gradient method. This algorithm represents a large class of algo...
Donald Yeung, Anant Agarwal
NETWORKS
2006
13 years 9 months ago
The multiroute maximum flow problem revisited
We are given a directed network G = (V, A, u) with vertex set V , arc set A, a source vertex s V , a destination vertex t V , a finite capacity vector u = {uij}ijA, and a positi...
Donglei Du, R. Chandrasekaran
ICPR
2010
IEEE
14 years 8 days ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
NIPS
1997
13 years 11 months ago
Relative Loss Bounds for Multidimensional Regression Problems
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
Jyrki Kivinen, Manfred K. Warmuth
ICPR
2008
IEEE
14 years 11 months ago
Harris feature vector descriptor (HFVD)
A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard devi...
Xuguang Wang, Fuchao C. Wu, Zhiheng Wang