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ORCIDPattern Recognition Letters, Volume 151
Volume 151, November 2021
- Shichao Zhang, Qing Xie, Yanrong Guo:
Editorial deep multi-source data analysis. 1-2 - Andrea Bruno
, Giuseppe Cattaneo, Umberto Ferraro Petrillo, Paola Capasso:
PNU Spoofing: a menace for biometrics authentication systems? 3-10 - Donato Impedovo, Vincenzo Dentamaro, Giacomo Abbattista, Vincenzo Gattulli, Giuseppe Pirlo:
A comparative study of shallow learning and deep transfer learning techniques for accurate fingerprints vitality detection. 11-18 - Donglin Zhang, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
MOON: Multi-hash codes joint learning for cross-media retrieval. 19-25 - Maohan Liang, Yang Zhan, Ryan Wen Liu:
MVFFNet: Multi-view feature fusion network for imbalanced ship classification. 26-32 - Yechan Kim, Younkwan Lee, Moongu Jeon:
Imbalanced image classification with complement cross entropy. 33-40 - Amin Zollanvari, Berdakh Abibullaev:
Bias correction for linear discriminant analysis. 41-47 - Daxin Huang, Junzheng Jiang, Fang Zhou, Shan Ouyang:
A distributed algorithm for graph semi-supervised learning. 48-54 - Ya Chen, Samuel Mensah, Fei Ma, Hao Wang, Zhongan Jiang:
Collaborative filtering grounded on knowledge graphs. 55-61 - Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas:
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. 62-68 - Sujata Dash, Chinmay Chakraborty, Sourav Kumar Giri, Subhendu Kumar Pani:
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics. 69-75 - Yirui Huang, Juan Wang, Na Li, Jing Yang, Zhenhui Ren:
Predicting soluble solids content in "Fuji" apples of different ripening stages based on multiple information fusion. 76-84 - Harkeerat Kaur, Pritee Khanna:
Corrigendum to "Random Slope method for generation of cancelable biometric features" [Pattern Recognition Letters 126 (2019): 31-40]. 85-87 - Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo:
Image deep clustering based on local-topology embedding. 88-94 - Xiao-Li Wang, Zhi-fan Zhu, Yan Song, Hai-juan Fu:
GRNet: Graph-based remodeling network for multi-view semi-supervised classification. 95-102 - Yu Zhang, Zilong Fu, Fuyu Huang, Yizhi Liu:
PMMN: Pre-trained multi-Modal network for scene text recognition. 103-111 - Yuanyuan Guan, Boxiang Zhang, Wenhui Li, Ying Wang:
Semi-supervised partial multi-label classification with low-rank and manifold constraints. 112-119 - Ruqin Zhou, Xixing Li, Wanshou Jiang:
SCANet: A Spatial and Channel Attention based Network for Partial-to-Partial Point Cloud Registration. 120-126 - Xiaoheng Deng, Ping Jiang, Dezheng Zhao, Rong Huang, Hailan Shen:
Effective semi-supervised learning for structured data using Embedding GANs. 127-134 - Gihwan Kim, Youngjoong Ko:
Effective fake news detection using graph and summarization techniques. 135-139 - Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes:
MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation. 140-147 - William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun:
Machine learning in precision medicine to preserve privacy via encryption. 148-154 - Md Tauhidul Islam, Lei Xing:
Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction. 155-162 - Nayan Kumar Subhashis Behera, Tanmay Kumar Behera, Michele Nappi, Sambit Bakshi, Pankaj Kumar Sa:
Futuristic person re-identification over internet of biometrics things (IoBT): Technical potential versus practical reality. 163-171 - Ayush Bhardwaj, Sakshee Pimpale, Saurabh Kumar, Biplab Banerjee:
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification. 172-179 - Ruibin Gu, Qiuxia Wu, Wing W. Y. Ng, Hongbin Xu, Zhiyong Wang:
ERINet: Enhanced rotation-invariant network for point cloud classification. 180-186 - Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester:
Exploration of block-wise dynamic sparseness. 187-192 - Daniel Andrade, Kenji Fukumizu, Yuzuru Okajima:
Convex covariate clustering for classification. 193-199 - Ehtesham Hassan:
Learning Video Actions in Two Stream Recurrent Neural Network. 200-208 - Jun Zhu, Lei Feng, Xiaohui Mo:
Robust Multichannel EEG Signal Reconstruction Method. 209-214 - Nancy Mehta, Subrahmanyam Murala:
MSAR-Net: Multi-scale attention based light-weight image super-resolution. 215-221 - Sandeep Mellimi, Vishal Rajput, Irshad Ahmad Ansari, Chang Wook Ahn:
A fast and efficient image watermarking scheme based on Deep Neural Network. 222-228 - Onesfole Kurama:
A new similarity-based classifier with Dombi aggregative operators. 229-235 - Rui Guo, Deng Li, Yahong Han:
Deep multi-scale and multi-modal fusion for 3D object detection. 236-242 - Qi Wang, Senlin Zhang, Weihua Sheng, Badong Chen, Meiqin Liu:
Multi-style learning for adaptation of perception intelligence in home service robots. 243-251 - Lucia Cimmino, Chiara Pero, Stefano Ricciardi, Shaohua Wan:
A method for user-customized compensation of metamorphopsia through video see-through enabled head mounted display. 252-258 - Bruno Ferreira, Pedro M. Ferreira, Gil Pinheiro, Nelson Figueiredo, Filipe Carvalho, Paulo Menezes, Jorge Batista:
Deep learning approaches for workout repetition counting and validation. 259-266 - Romany Fouad Mansour, José Escorcia-Gutierrez, Margarita Gamarra, Deepak Gupta, Oscar Castillo, Sachin Kumar:
Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification. 267-274 - Yanli Ma, Zhonghua Li, Jixiang Gou, Lihua Ding, Dong Yang, Guiliang Feng:
Adoption of improved neural network blade pattern recognition in prevention and control of corona virus disease-19 pandemic. 275-280 - Wei Huang, Richard Yi Da Xu:
Gaussian process latent variable model factorization for context-aware recommender systems. 281-287 - Eric V. Strobl:
Automated hyperparameter selection for the PC algorithm. 288-293 - Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier:
FFAVOD: Feature fusion architecture for video object detection. 294-301 - Aissam Hadri, Amine Laghrib, Hssaine Oummi:
An optimal variable exponent model for Magnetic Resonance Images denoising. 302-309 - Adel Dabah, Ibrahim Chegrane, Saïd Yahiaoui:
Efficient approximate approach for graph edit distance problem. 310-316 - Xiurong Jiang, Lin Zhu, Hui Tian:
Learning event guided network for salient object detection. 317-324 - Silvio Barra, Carmen Bisogni, Maria De Marsico, Stefano Ricciardi:
Visual question answering: Which investigated applications? 325-331 - Lei Qu, Wan Wan, Kaixuan Guo, Yu Liu, Jun Tang, Xiaolei Li, Jun Wu:
Triple-Input-Unsupervised neural Networks for deformable image registration. 332-339 - Marco Brighi, Annalisa Franco, Dario Maio:
ActivityExplorer: A semi-supervised approach to discover unknown activity classes in HAR systems. 340-347 - J. S. Blandon, Álvaro-Ángel Orozco-Gutierrez, Andrés Marino Álvarez-Meza:
An enhanced and interpretable feature representation approach to support shape classification from binary images. 348-354 - Jing An, Xiaoxia Liu, Mei Shi, Jun Guo, Xiaoqing Gong, Zhihui Li:
Weighted multi-view common subspace learning method. 355-361
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