Pattern Recognition（PR ）的VOLUME 105论文列表

卷期号： Volume 105

发布时间： September 2020

卷期年份： 2020

卷期官网： https://www.sciencedirect.com/journal/pattern-recognition/vol/105/suppl/C

Editorial Board

Person identification using EEG channel selection with hybrid flower pollination algorithm

Gait recognition invariant to carried objects using alpha blending generative adversarial networks

BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs

Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces

Unsupervised feature selection with adaptive multiple graph learning

Supervised dimensionality reduction of proportional data using mixture estimation

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits

Video anomaly detection and localization using motion-field shape description and homogeneity testing

Revisiting spectral clustering for near-convex decomposition of 2D shape

Learning Direct Optimization for scene understanding

Context from within: Hierarchical context modeling for semantic segmentation

Simplified unsupervised image translation for semantic segmentation adaptation

Supervised deep hashing with a joint deep network

Robust twin support vector regression based on rescaled Hinge loss

Reinterpreting CTC training as iterative fitting

Gated CNN: Integrating multi-scale feature layers for object detection

Spectral rotation for deep one-step clustering

Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks

Towards interpretable and robust hand detection via pixel-wise prediction

Binary neural networks: A survey

Adaptive iterative attack towards explainable adversarial robustness

Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs

Heterogenous output regression network for direct face alignment

Self-attention driven adversarial similarity learning network

Robust one-stage object detection with location-aware classifiers

Deep quantization generative networks

Graph-based neural networks for explainable image privacy inference

Deep transductive network for generalized zero shot learning

Learning residual refinement network with semantic context representation for real-time saliency object detection

Learning EEG topographical representation for classification via convolutional neural network

Deep multi-person kinship matching and recognition for family photos

Stacked squeeze-and-excitation recurrent residual network for visual-semantic matching

Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks