0031-3203

Pattern Recognition （PR） - Volume 44, Issue 4 论文列表

点击这里查看 Pattern Recognition 的JCR分区、影响因子等信息
卷期号： Volume 44, Issue 4
发布时间： April 2011
卷期年份： 2011
卷期官网： https://www.sciencedirect.com/journal/pattern-recognition/vol/44/issue/4
本期论文列表
Editorial board and publication information

Content-based binary image retrieval using the adaptive hierarchical density histogram

Wavelet-based image watermarking with visibility range estimation based on HVS and neural networks

A robust hybrid method for nonrigid image registration

Color image segmentation using pixel wise support vector machine classification

Local MAP estimation for quality improvement of compressed color images

Local autocorrelation of similarities with subspaces for shift invariant scene classification

Multi-scale 2D tracking of articulated objects using hierarchical spring systems

BASSUM: A Bayesian semi-supervised method for classification feature selection

Multi-scale edge detection on range and intensity images

Shape from focus using fast discrete curvelet transform

A unifying criterion for unsupervised clustering and feature selection

Fast modified global k-means algorithm for incremental cluster construction

A linear discriminant analysis method based on mutual information maximization

Network-based sparse Bayesian classification

Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification

A new scheme for unconstrained handwritten text-line segmentation

Supervised relevance maps for increasing the distinctiveness of facial images

Quantitative analysis of human facial beauty using geometric features

Methodological improvement on local Gabor face recognition based on feature selection and enhanced Borda count

On accurate orientation extraction and appropriate distance measure for low-resolution palmprint recognition

Gait flow image: A silhouette-based gait representation for human identification

Gait recognition based on improved dynamic Bayesian networks

A comment on: “Fast and numerically stable methods for the computation of Zernike moments” by Singh et al. [Pattern Recognition, 43(2010), Pages 2497–2506]