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ORCIDPattern Recognition Letters, Volume 160
Volume 160, August 2022
- Hao Ren, Hong Lu
:
Compositional coding capsule network with k-means routing for text classification. 1-8 - Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang, Chen Chen, Anastasios Tefas:
Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. 9-10 - Deepak Kumar Jain, Akshi Kumar, Saurabh Raj Sangwan:
TANA: The amalgam neural architecture for sarcasm detection in indian indigenous language combining LSTM and SVM with word-emoji embeddings. 11-18 - Huanhou Xiao, Jinglun Shi:
Diverse video captioning through latent variable expansion. 19-25 - Yang Liu, Zheng Wang, Xinyang Yu, Xin Chen, Meijun Sun:
Memory-based Transformer with shorter window and longer horizon for multivariate time series forecasting. 26-33 - Arucha Rungchokanun, Vutipong Areekul:
Directionally Weighted Distance for Minutiae-Triplets Preservation on Elastic Deformation of Fingerprint Recognition. 34-42 - Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi:
Few shots are all you need: A progressive learning approach for low resource handwritten text recognition. 43-49 - Ying Xing, Xiaomeng Qian, Yu Guan, Bin Yang, Yuwei Zhang:
Cross-project defect prediction based on G-LSTM model. 50-57 - Abhijeet Boragule, Hamna Akram, Jeongbae Kim, Moongu Jeon:
Learning to resolve uncertainties for large-scale face recognition. 58-65 - Xing Wang, De Xie, Yuanshi Zheng:
Referring expression grounding by multi-context reasoning. 66-72 - Xiangyuan Liu, Zhongke Wu, Xingce Wang:
A robust intrinsic feature of images derived from the tensor manifold. 73-81 - Imam Mustafa Kamal, Hyerim Bae:
Cooperative auto-classifier networks for boosting discriminant capacity. 82-89 - Wei Kong, Yun Liu, Hui Li, Chuanxu Wang, Ye Tao, Xiangzhen Kong:
GSTA: Pedestrian trajectory prediction based on global spatio-temporal association of graph attention network. 90-97 - Xiao Yang, Shilong Liu, Yinpeng Dong, Hang Su, Lei Zhang, Jun Zhu:
Towards generalizable detection of face forgery via self-guided model-agnostic learning. 98-104 - Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas:
A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization. 105-111 - N. S. Manikandan, Ganesan Kaliyaperumal:
Collision avoidance approaches for autonomous mobile robots to tackle the problem of pedestrians roaming on campus road. 112-121 - Kan Huang, Chunwei Tian, Jingyong Su, Jerry Chun-Wei Lin:
Transformer-based Cross Reference Network for video salient object detection. 122-127 - M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia:
Kernel-based convolution expansion for facial expression recognition. 128-134 - Salvatore Serrano, Murtadha Arif Bin Sahbudin, Chakib Chaouch, Marco Scarpa:
A new fingerprint definition for effective song recognition. 135-141 - Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. 142-147 - Tianbao Song, Jingbo Sun, Xin Liu, Jihua Song, Weiming Peng:
Topic-word-constrained sentence generation with variational autoencoder. 148-154 - Ruihua Zhang, Fan Yang, Yan Luo, Jianyi Liu, Cong Wang:
Learning invariant representation for unsupervised domain adaptive thorax disease classification. 155-162 - Rajesh Yelchuri, Jatindra Kumar Dash, Priyanka Singh, Arunanshu Mahapatro, Sibarama Panigrahi:
Exploiting deep and hand-crafted features for texture image retrieval using class membership. 163-171 - Cong Xu, Dan Li, Min Yang:
Adversarial momentum-contrastive pre-training. 172-179
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