Výsledky vyhledávání - computer learning and pattern recognition::evolution computing~

A Concatenational Graph Evolution Aging Model Autor Suo, Jinli, Chen, Xilin, Shan, Shiguang, Gao, Wen, Dai, Qionghai

“…Modeling the long-term face aging process is of great importance for face recognition and animation, but there is a lack of sufficient long-term face aging sequences for model learning…”
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Opportunistic sensing for inferring in-the-wild human contexts based on activity pattern recognition using smart computing Autor Ehatisham-ul-Haq, Muhammad, Azam, Muhammad Awais

“…In recent years, with the evolution of internet-of-things and smart sensing technologies, sensor-based physical activity recognition has gained substantial prominence, and numerous research works…”
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CHSPAM: a multi-domain model for sequential pattern discovery and monitoring in contexts histories Autor Dupont, Daniel, Barbosa, Jorge Luis Victória, Alves, Bruno Mota

“… The article proposes a model, called CHSPAM, that allows the discovery of sequential patterns in contexts histories databases and keeps track of these patterns to monitor their evolution over time…”
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Q-learning enhanced differential evolution for feature selection in high-dimensional medical data analysis Autor Huang, Chenliang, Wang, Mingjing, Asghar, Heidari Ali, Wang, Zhilin, Chen, Huiling

“… In this study, we propose a hybrid optimization algorithm named QDEHHO, where Differential Evolution (DE…”
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Seismic-driven neural intelligence coupled with hybrid evolution strategy for accurate intrusion detection in cloud-IoT systems Autor Saravanan, T., Pugalenthi, R.

“… In addition, most existing deep learning models and hybrid models are plagued with fixed feature engineering, poor parameter tuning, and poor contextual pattern recognition, all of which…”
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D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features Autor Bai, Xuyang, Luo, Zixin, Zhou, Lei, Fu, Hongbo, Quan, Long, Tai, Chiew-Lan

“… Despite the fast evolution of learning-based 3D feature descriptors, little attention has been drawn to the learning of 3D feature detectors, even less for a joint learning of the two tasks…”
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Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey Autor Savelonas, Michalis A., Veinidis, Christos N., Bartsokas, Theodoros K.

“…Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition…”
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Adaptive mobile activity recognition system with evolving data streams Autor Abdallah, Zahraa Said, Gaber, Mohamed Medhat, Srinivasan, Bala, Krishnaswamy, Shonali

“…s sensor rich mobile phones. Supervised learning with static models has been applied pervasively for mobile activity recognition…”
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The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection Autor Ali, Momina Liaqat, Zhang, Zhou

“… The review traces the evolution of YOLO variants, highlighting key architectural improvements, performance benchmarks, and applications in domains such as healthcare, autonomous vehicles, and robotics…”
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Diagnosis of skin diseases in the era of deep learning and mobile technology Autor Goceri, Evgin

“…Efficient methods developed with deep learning in the last ten years have provided objectivity and high accuracy in the diagnosis of skin diseases…”
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Pattern recognition of topologically associating domains using deep learning Autor Yang, Jhen Yuan, Chang, Jia-Ming

“… During evolution, these are conserved based on checking synteny block cross species. Are there common TAD patterns across species or cell lines…”
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Online Detection of Action Start via Soft Computing for Smart City Autor Wang, Tian, Chen, Yang, Lv, Hongqiang, Teng, Jing, Snoussi, Hichem, Tao, Fei

“… With video surveillance technologies of soft computing, such as image processing, computer vision, and pattern recognition combined with cloud computing, the construction of smart cities…”
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Learning Situation Models in a Smart Home Autor Brdiczka, O., Crowley, J.L., Reignier, P.

“… learning of situation representations, and evolution of a predefined situation model with feedback…”
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Design and Augmentation of a Deep Learning Based Vehicle Detection Model for Low Light Intensity Conditions Autor Vishwakarma, Pramod Kumar, Jain, Nitin

“… This study aims to meet the urgent requirement for enhanced vehicle detection in low light circumstances by developing and enhancing a deep learning-based model…”
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An unsupervised statistical representation learning method for human activity recognition Autor Abdi, Mohammad Foad, BabaAli, Bagher, Momeni, Saleh

“… Consequently, sensor-based Human Activity Recognition (HAR) has emerged as a significant research area in the fields of ubiquitous computing and wearable computing…”
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Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems Autor Iqbal, Muhammad, Browne, Will N, Zhang, Mengjie

“…A main research direction in the field of evolutionary machine learning is to develop a scalable classifier system to solve high-dimensional problems…”
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The Evolution of Cloud through SJF-ML Hybrid Scheduling Autor Vijay Lahande, Prathamesh

“… The four categories include: SJF-CA, SJF-ELA, SJF-PM, and SJF-RA. The developed SJF-ML algorithms by the author perform pattern recognition of the tasks that are to be computed, to improve decision-making during task computations in the cloud…”
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EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch Autor Ren, Jian, Li, Zhe, Yang, Jianchao, Xu, Ning, Yang, Tianbao, Foran, David J.

“…Designing the structure of neural networks is considered one of the most challenging tasks in deep learning, especially when there is few prior knowledge about the task domain…”
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Deep Learning for Generic Object Detection: A Survey Autor Liu, Li, Ouyang, Wanli, Wang, Xiaogang, Fieguth, Paul, Chen, Jie, Liu, Xinwang, Pietikäinen, Matti

“… Given this period of rapid evolution, the goal of this paper is to provide a comprehensive survey of the recent achievements in this field brought about by deep learning techniques…”
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How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation Autor Kouvaris, Kostas, Clune, Jeff, Kounios, Loizos, Brede, Markus, Watson, Richard A.

“…One of the most intriguing questions in evolution is how organisms exhibit suitable phenotypic variation to rapidly adapt in novel selective environments…”
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