default search action
Pattern Recognition Letters, Volume 142
Volume 142, February 2021
- José Arturo Olvera-López, Joaquín Salas, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Sudeep Sarkar:
Virtual special issue on novel data-representation and classification techniques. 1-2 - S. Rajiv, C. Navaneethan:
Keyword weight optimization using gradient strategies in event focused web crawling. 3-10 - Ziang Liu, Xue Jiang, Hanbin Luo, Weili Fang, Jiajing Liu, Dongrui Wu:
Pool-based unsupervised active learning for regression using iterative representativeness-diversity maximization (iRDM). 11-19 - Pin Wang, Peng Wang, En Fan:
Violence detection and face recognition based on deep learning. 20-24 - Lingyan Ran, Yujun Hong, Shizhou Zhang, Yifei Yang, Yanning Zhang:
Improving visible-thermal ReID with structural common space embedding and part models. 25-31 - Claudio Tortorici, Stefano Berretti, Ahmad Obeid, Naoufel Werghi:
Convolution operations for relief-pattern retrieval, segmentation and classification on mesh manifolds. 32-38 - Muhammad Ilyas, Amine Naït-Ali:
Auditory perception vs. face based systems for human age estimation in unsupervised environments: from countermeasure to multimodality. 39-45 - Yu-Dong Zhang, Zhengchao Dong, Shuai Li, Deepak Kumar Jain:
Virtual special issue on advanced deep learning methods for biomedical engineering. 46-47 - Mario Molinara, Alessandro Bria, Saverio De Vito, Claudio Marrocco:
Artificial intelligence for distributed smart systems. 48-50 - Thomas Laloë:
Quantization based clustering: An iterative approach. 51-57 - Zheng Cao, Chuanbin Sun, Wenzhe Wang, Xiangshang Zheng, Jian Wu, Honghao Gao:
Multi-modality fusion learning for the automatic diagnosis of optic neuropathy. 58-64 - Avgoustinos Vouros, Eleni Vasilaki:
A semi-supervised sparse K-Means algorithm. 65-71
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.