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ORCIDPattern Recognition Letters, Volume 157
Volume 157, May 2022
- Samuel S. Xing, Md Tauhidul Islam:
Utilizing differential characteristics of high dimensional data as a mechanism for dimensionality reduction. 1-7 - Sandeep Gupta
, Rajesh Kumar, Mouna Kacimi, Bruno Crispo:
IDeAuth: A novel behavioral biometric-based implicit deauthentication scheme for smartphones. 8-15 - Yassine Aoudni, Cecil Donald, Ahmed Farouk, Kishan Bhushan Sahay, D. Vijendra Babu, Vikas Tripathi, Dharmesh Dhabliya:
Cloud security based attack detection using transductive learning integrated with Hidden Markov Model. 16-26 - Xu Song, Yan Huang, Caifeng Shan, Jilong Wang, Yu Chen:
Distilled light GaitSet: Towards scalable gait recognition. 27-34 - Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Alejandro Acien, Gaël Le Lan:
Mobile behavioral biometrics for passive authentication. 35-41 - Khalil Boukthir, Abdulrahman M. Qahtani, Omar Almutiry, Habib Dhahri, Adel M. Alimi:
Reduced annotation based on deep active learning for arabic text detection in natural scene images. 42-48 - Tanmoy Mondal, Abhijit Das, Zuheng Ming:
Exploring multi-tasking learning in document attribute classification. 49-59 - Yuxue Chen, Shuisheng Zhou, Ximin Zhang, Dong Li, Cui Fu:
Improved fuzzy c-means clustering by varying the fuzziness parameter. 60-66 - Woo Hyun Park, Isma Farah Siddiqui, Chinmay Chakraborty, Nawab Muhammad Faseeh Qureshi, Dong Ryeol Shin:
Scarcity-aware spam detection technique for big data ecosystem. 67-75 - David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez:
Greedy-layer pruning: Speeding up transformer models for natural language processing. 76-82 - Shuchismita Sarkar, Xuwen Zhu:
Multiple change point clustering of count processes with application to California COVID data. 83-89 - Ying Chen, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Dongjun Zhu, Dongjingdian Liu:
ResT-ReID: Transformer block-based residual learning for person re-identification. 90-96 - Xiou Ge, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo:
CORE: A knowledge graph entity type prediction method via complex space regression and embedding. 97-103 - Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo:
KGBoost: A classification-based knowledge base completion method with negative sampling. 104-111 - Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang:
Generative adversarial U-Net for domain-free few-shot medical diagnosis. 112-118 - Yong Xuan Tan, Chin-Poo Lee, Mai Neo, Kian-Ming Lim:
Text-to-image synthesis with self-supervised learning. 119-126 - Jannis Priesnitz, Christian Rathgeb, Nicolas Buchmann, Christoph Busch:
SynCoLFinGer: Synthetic contactless fingerprint generator. 127-134 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health. 135-143
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