Pattern Recognition（PR ）的VOLUME 106论文列表

卷期号： Volume 106

发布时间： October 2020

卷期年份： 2020

卷期官网： https://www.sciencedirect.com/journal/pattern-recognition/vol/106/suppl/C

Editorial Board

Non-rigid infrared and visible image registration by enhanced affine transformation

Orthogonal neighborhood preserving discriminant analysis with patch embedding for face recognition

New label propagation algorithm with pairwise constraints

Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix

Probabilistic SVM classifier ensemble selection based on GMDH-type neural network

Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization

Multi-dimensional classification via kNN feature augmentation

Nonparallel support vector machine with large margin distribution for pattern classification

A novel online action detection framework from untrimmed video streams

A CNN-based 3D human pose estimation based on projection of depth and ridge data

SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery

Ellipse fitting by spatial averaging of random ensembles

Structure alignment of attributes and visual features for cross-dataset person re-identification

Can we automate diagrammatic reasoning?

U2-Net: Going deeper with nested U-structure for salient object detection

Data-augmented matched subspace detector for hyperspectral subpixel target detection

Multistage attention network for image inpainting

Adaptive ROI generation for video object segmentation using reinforcement learning

An efficient attribute-space connected filter on graphs to reconstruct paths in point-clouds

Manifold learning for user profiling and identity verification using motion sensors

Building outline extraction from ALS point clouds using medial axis transform descriptors

Recurrent bag-of-features for visual information analysis

Scale balance for prototype-based binary quantization

Graph-based boosting algorithm to learn labeled and unlabeled data

Structure-aware human pose estimation with graph convolutional networks

Fast matching via ergodic markov chain for super-large graphs

Every node counts: Self-ensembling graph convolutional networks for semi-supervised learning

A survey on deep learning methods for scene flow estimation