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期刊列表
Pattern Recognition
Volume 88
Pattern Recognition
(PR)
-
Volume 88
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 88
发布时间:
April 2019
卷期年份:
2019
卷期官网:
https://www.sciencedirect.com/journal/pattern-recognition/vol/88/suppl/C
本期论文列表
Editorial Board
原文链接
谷歌学术
必应学术
百度学术
Hard negative generation for identity-disentangled facial expression recognition
原文链接
谷歌学术
必应学术
百度学术
Fixed-length asymmetric binary hashing for fingerprint verification through GMM-SVM based representations
原文链接
谷歌学术
必应学术
百度学术
Nasal similarity measure of 3D faces based on curve shape space
原文链接
谷歌学术
必应学术
百度学术
Laplacian pyramid adversarial network for face completion
原文链接
谷歌学术
必应学术
百度学术
Cascade learning from adversarial synthetic images for accurate pupil detection
原文链接
谷歌学术
必应学术
百度学术
Fingerprint growth model for mitigating the ageing effect on children’s fingerprints matching
原文链接
谷歌学术
必应学术
百度学术
Blood vessel segmentation from fundus image by a cascade classification framework
原文链接
谷歌学术
必应学术
百度学术
Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis
原文链接
谷歌学术
必应学术
百度学术
Online anomaly detection for long-term ECG monitoring using wearable devices
原文链接
谷歌学术
必应学术
百度学术
The multiscale bowler-hat transform for blood vessel enhancement in retinal images
原文链接
谷歌学术
必应学术
百度学术
To cluster, or not to cluster: An analysis of clusterability methods
原文链接
谷歌学术
必应学术
百度学术
Multi-view subspace clustering with intactness-aware similarity
原文链接
谷歌学术
必应学术
百度学术
Efficient robust methods via monitoring for clustering and multivariate data analysis
原文链接
谷歌学术
必应学术
百度学术
Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework
原文链接
谷歌学术
必应学术
百度学术
K-Nets: Clustering through nearest neighbors networks
原文链接
谷歌学术
必应学术
百度学术
HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering
原文链接
谷歌学术
必应学术
百度学术
Block sparse representation for pattern classification: Theory, extensions and applications
原文链接
谷歌学术
必应学术
百度学术
Linear classifier design in the weight space
原文链接
谷歌学术
必应学术
百度学术
Adaptive-weighting discriminative regression for multi-view classification
原文链接
谷歌学术
必应学术
百度学术
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation
原文链接
谷歌学术
必应学术
百度学术
Class-specific attribute weighted naive Bayes
原文链接
谷歌学术
必应学术
百度学术
Improving classification with semi-supervised and fine-grained learning
原文链接
谷歌学术
必应学术
百度学术
Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses
原文链接
谷歌学术
必应学术
百度学术
Sparse, collaborative, or nonnegative representation: Which helps pattern classification?
原文链接
谷歌学术
必应学术
百度学术
Deep adaptive learning for writer identification based on single handwritten word images
原文链接
谷歌学术
必应学术
百度学术
Word spotting and recognition via a joint deep embedding of image and text
原文链接
谷歌学术
必应学术
百度学术
Intelligent character recognition using fully convolutional neural networks
原文链接
谷歌学术
必应学术
百度学术
Robust visual tracking via nonlocal regularized multi-view sparse representation
原文链接
谷歌学术
必应学术
百度学术
Semi-supervised person re-identification using multi-view clustering
原文链接
谷歌学术
必应学术
百度学术
Detecting abnormal crowd behaviors based on the div-curl characteristics of flow fields
原文链接
谷歌学术
必应学术
百度学术
Unsupervised object discovery and co-localization by deep descriptor transformation
原文链接
谷歌学术
必应学术
百度学术
New set of multi-channel orthogonal moments for color image representation and recognition
原文链接
谷歌学术
必应学术
百度学术
Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images
原文链接
谷歌学术
必应学术
百度学术
3D registration based on the direction sensor measurements
原文链接
谷歌学术
必应学术
百度学术
Deep gated attention networks for large-scale street-level scene segmentation
原文链接
谷歌学术
必应学术
百度学术
Active contours driven by global and local weighted signed pressure force for image segmentation
原文链接
谷歌学术
必应学术
百度学术
Simultaneous color-depth super-resolution with conditional generative adversarial networks
原文链接
谷歌学术
必应学术
百度学术
Random forest dissimilarity based multi-view learning for Radiomics application
原文链接
谷歌学术
必应学术
百度学术
Learning from crowds with variational Gaussian processes
原文链接
谷歌学术
必应学术
百度学术
On-line Elastic Similarity Measures for time series
原文链接
谷歌学术
必应学术
百度学术
Diffusion network embedding
原文链接
谷歌学术
必应学术
百度学术
Fast stochastic second-order method logarithmic in condition number
原文链接
谷歌学术
必应学术
百度学术
Autoencoder node saliency: Selecting relevant latent representations
原文链接
谷歌学术
必应学术
百度学术
Encoding sparse and competitive structures among tasks in multi-task learning
原文链接
谷歌学术
必应学术
百度学术
Joint interaction with context operation for collaborative filtering
原文链接
谷歌学术
必应学术
百度学术
Incremental commute time and its online applications
原文链接
谷歌学术
必应学术
百度学术
Deep representation design from deep kernel networks
原文链接
谷歌学术
必应学术
百度学术
A label-specific multi-label feature selection algorithm based on the Pareto dominance concept
原文链接
谷歌学术
必应学术
百度学术
Quantum-based subgraph convolutional neural networks
原文链接
谷歌学术
必应学术
百度学术
High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancement
原文链接
谷歌学术
必应学术
百度学术
Strength and similarity guided group-level brain functional network construction for MCI diagnosis
原文链接
谷歌学术
必应学术
百度学术
A tensor framework for geosensor data forecasting of significant societal events
原文链接
谷歌学术
必应学术
百度学术
Dual-force convolutional neural networks for accurate brain tumor segmentation
原文链接
谷歌学术
必应学术
百度学术
Collaborative representation based face classification exploiting block weighted LBP and analysis dictionary learning
原文链接
谷歌学术
必应学术
百度学术
Auto-weighted multi-view clustering via kernelized graph learning
原文链接
谷歌学术
必应学术
百度学术
Incremental semi-supervised learning on streaming data
原文链接
谷歌学术
必应学术
百度学术
Aggregating minutia-centred deep convolutional features for fingerprint indexing
原文链接
谷歌学术
必应学术
百度学术
Attention guided deep audio-face fusion for efficient speaker naming
原文链接
谷歌学术
必应学术
百度学术
Zero-shot event detection via event-adaptive concept relevance mining
原文链接
谷歌学术
必应学术
百度学术
Perceptually-guided deep neural networks for ego-action prediction: Object grasping
原文链接
谷歌学术
必应学术
百度学术