0031-3203

Pattern Recognition （PR） - Volume 81 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 81
发布时间： September 2018
卷期年份： 2018
卷期官网： https://www.sciencedirect.com/journal/pattern-recognition/vol/81/suppl/C
本期论文列表
Editorial Board

Deep CNN based binary hash video representations for face retrieval

Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary learning and sparse coding

Personal identification utilizing lip print furrow based patterns. A new approach

Joint intermodal and intramodal correlation preservation for semi-paired learning

Entropy and orthogonality based deep discriminative feature learning for object recognition

Accurate detection of ellipses with false detection control at video rates using a gradient analysis

Learning bag-of-embedded-words representations for textual information retrieval

A heuristic based dependency calculation technique for rough set theory

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction

Robust statistical approaches for circle fitting in laser scanning three-dimensional point cloud data

Line matching based on line-points invariant and local homography

Clustering ensembles: A hedonic game theoretical approach

The Weight-Shape decomposition of density estimates: A framework for clustering and image analysis algorithms

Adaptive weighted nonnegative low-rank representation

Towards interval-valued fuzzy set-based collaborative fuzzy clustering algorithms

Knowledge transfer for spectral clustering

Convex clustering with metric learning

Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features

Learning with privileged information for multi-Label classification

Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification

Vehicle verification between two nonoverlapped views using sparse representation

Deep variance network: An iterative, improved CNN framework for unbalanced training datasets

Robust, discriminative and comprehensive dictionary learning for face recognition

An approach to supervised distance metric learning based on difference of convex functions programming

Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection

Keyword spotting in historical handwritten documents based on graph matching

Learning content and style: Joint action recognition and person identification from human skeletons

Time Alignment Measurement for Time Series

Human action recognition by means of subtensor projections and dense trajectories

Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition

Fast copy-move forgery detection using local bidirectional coherency error refinement

A fiducial tag invariant to rotation, translation, and perspective transformations

Robust regression for image binarization under heavy noise and nonuniform background

Blind image quality prediction by exploiting multi-level deep representations

Understanding of indoor scenes based on projection of spatial rectangles

Structured and weighted multi-task low rank tracker

Visual tracking via Boolean map representations

Robust occlusion-aware part-based visual tracking with object scale adaptation

Variational inference based bayes online classifiers with concept drift adaptation

Overlapping community detection in rating-based social networks through analyzing topics, ratings and links

Community discovery in networks with deep sparse filtering

Efficient auto-refocusing for light field camera

Pairwise based deep ranking hashing for histopathology image classification and retrieval

Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

Learning domain-shared group-sparse representation for unsupervised domain adaptation

Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey

On feature selection protocols for very low-sample-size data

Handling data irregularities in classification: Foundations, trends, and future challenges