Suchergebnisse - Computer Learning AND Pattern Recognition::Neural Networks*

Complex-Valued Neural Networks: A Comprehensive Survey von Lee, ChiYan, Hasegawa, Hideyuki, Gao, Shangce

“… Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared to their real counter-parts in speech enhancement, image and signal processing …”
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Automatic Recognition of Speed Limits on Speed-Limit Signs by Using Machine Learning von Miyata, Shigeharu

“… This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP …”
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A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies von Qian, Zhuang, Huang, Kaizhu, Wang, Qiu-Feng, Zhang, Xu-Yao

“… Deep neural networks have achieved remarkable success in machine learning, computer vision, and pattern recognition in the last few decades …”
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Hybrid methods in pattern recognition (Series in machine perception and artificial intelligence - vol. 47) von Bunke, H, Kandel, A

“… The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago …”
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Deep Learning Framework for Classification of Emoji Based Sentiments von Parveen Shaikh, Nighat, Hussain Mahar, Mumtaz

“… Recent patterns of human sentiments are highly influenced by emoji based sentiments (EBS …”
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Navegación autónoma del Robot KUKA Youbot con señalización basada en técnicas de detección de objetos y redes neuronales profundas von Encalada, Patricio, Gordón, Carlos, Lema, Henry, León, Diego, Chicaiza, Dennis

“… los vehículos comerciales en industriales. En el texto Autonomous robot navigation based on pattern recognition techniques and artificial neural networks, de Quiñonez et al …”
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Comparison of Different Learning Algorithms for Pattern Recognition with Hopfield's Neural Network von Szandała, Tomasz

“… Hopfield neural networks can be used for compression, approximation, steering. But they are most commonly used for pattern recognition thanks to their associative memory trait …”
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A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition von Zhang, Yong, Li, Peng, Jin, Yingyezhe, Choe, Yoonsuck

“… With the proposed online learning, the LSM extracts information from input patterns on the fly without needing intermediate data storage as required in offline learning methods such as ridge regression …”
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VERİ MADENCİLİĞİNDE SINIFLANDIRMA ALGORİTMALARININ PERFORMANS DEĞERLENDİRMESİ VE R DİLİ İLE BİR UYGULAMA von ÇINAR, Ayşe

“… Sınıflandırma Yöntemi, veri madenciliğinin başlıca yöntemlerinden biri olup, öğrenme algoritmasına dayanır. Büyük ölçekli bir veri içinde gizli kalmış bir …”
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Data-driven emergence of convolutional structure in neural networks von Ingrosso, Alessandro, Goldt, Sebastian

“… Exploiting data invariances is crucial for efficient learning in both artificial and biological neural circuits …”
Weitere Angaben

Grandmaster level in StarCraft II using multi-agent reinforcement learning von Vinyals, Oriol, Babuschkin, Igor, Czarnecki, Wojciech M., Mathieu, Michaël, Dudzik, Andrew, Chung, Junyoung, Choi, David H., Powell, Richard, Ewalds, Timo, Georgiev, Petko, Oh, Junhyuk, Horgan, Dan, Kroiss, Manuel, Danihelka, Ivo, Huang, Aja, Sifre, Laurent, Cai, Trevor, Agapiou, John P., Jaderberg, Max, Vezhnevets, Alexander S., Leblond, Rémi, Pohlen, Tobias, Dalibard, Valentin, Budden, David, Sulsky, Yury, Molloy, James, Paine, Tom L., Gulcehre, Caglar, Wang, Ziyu, Pfaff, Tobias, Wu, Yuhuai, Ring, Roman, Yogatama, Dani, Wünsch, Dario, McKinney, Katrina, Smith, Oliver, Schaul, Tom, Lillicrap, Timothy, Kavukcuoglu, Koray, Hassabis, Demis, Apps, Chris, Silver, David

“… Many real-world applications require artificial agents to compete and coordinate with other agents in complex environments. As a stepping stone to this goal, …”
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Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition von Tang, Jialin, Su, Qinglang, Su, Binghua, Fong, Simon, Cao, Wei, Gong, Xueyuan

“… A new face recognition method based on parallel ensemble learning of convolutional neural networks (CNN …”
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Hands-on Machine Learning with Python - Implement Neural Network Solutions with Scikit-Learn and PyTorch von Ashwin Pajankar, Aditya Joshi

“… Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning …”
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Automated Malignant Melanoma Classification Using Convolutional Neural Networks von Camacho, Edgar, Guarnizo Marín, José Guillermo, Riaño Borda, Sebastián, Mateus Rojas, Armando

“… En esta investigación se propone un diseño de arquitectura para el reconocimiento de melanoma (un tipo de cáncer de piel) mediante el uso de una CNN (Red …”
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Practical emotional neural networks von Lotfi, Ehsan, Akbarzadeh-T., M.-R.

“… In this paper, we propose a limbic-based artificial emotional neural network (LiAENN) for a pattern recognition problem …”
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Deep learning in neural networks: An overview von Schmidhuber, Jürgen

“… In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning …”
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Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks von Pichler, Maximilian, Boreux, Virginie, Klein, Alexandra‐Maria, Schleuning, Matthias, Hartig, Florian, Carvalheiro, Luisa

“… Using simulated and real data, we contrast conventional generalized linear models (GLM) with more flexible Machine Learning …”
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A New Method of Mixed Gas Identification Based on a Convolutional Neural Network for Time Series Classification von Han, Lu, Yu, Chongchong, Xiao, Kaitai, Zhao, Xia

“… In view of the superiority of convolutional neural networks in the field of computer vision, we applied the concept to the classification of five mixed gas time series data collected by an array …”
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Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization von Fan, Xiaolong, Gong, Maoguo, Tang, Zedong, Wu, Yue

“… As a unified framework for graph neural networks, message passing-based neural network (MPNN …”
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Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network von Ziyadinov, Vadim, Tereshonok, Maxim

“… We also examined the noise immunity of convolutional neural networks and estimated the influence of uncertainty in the training and testing datasets on recognition probability …”
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