This book constitutes the refereed proceedings of the 5th Mexican Conference on Pattern Recognition, MCPR 2013, held in Huatulco, Mexico, in June 2013. The 36 revised full papers and two keynotes presented were carefu...
详细信息
ISBN:
(数字)9783642389894
ISBN:
(纸本)9783642389887
This book constitutes the refereed proceedings of the 5th Mexican Conference on Pattern Recognition, MCPR 2013, held in Huatulco, Mexico, in June 2013. The 36 revised full papers and two keynotes presented were carefully reviewed and selected from 81 submissions and are organized in topical sections on computer vision; imageprocessing; pattern recognition and artificial intelligence; neuralnetworks; document processing.
The book focuses on graph neural network methods and applications for scene understanding. Graph neural Network is an important method for graph-structured data processing, which has strong capability of graph data le...
详细信息
ISBN:
(数字)9789819799336
ISBN:
(纸本)9789819799329;9789819799350
The book focuses on graph neural network methods and applications for scene understanding. Graph neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the research focuses in computer vision and imageprocessing, which realizes semantic segmentation and object recognition of image or video. In this book, the algorithm, system design and performance evaluation of scene understanding based on graph neuralnetworks have been studied. First, the book elaborates the background and basic concepts of graph neural network and scene understanding, then introduces the operation mechanism and key methodological foundations of graph neural network. The book then comprehensively explores the implementation and architectural design of graph neuralnetworks for scene understanding tasks, including scene parsing, human parsing, and video object segmentation. The aim of this book is to provide timely coverage of the latest advances and developments in graph neuralnetworks and their applications to scene understanding, particularly for readers interested in research and technological innovation in machine learning, graph neuralnetworks and computer vision. Features of the book include self-supervised feature fusion based graph convolutional network is designed for scene parsing, structure-property based graph representation learning is developed for human parsing, dynamic graph convolutional network based on multi-label learning is designed for human parsing, and graph construction and graph neural network with transformer are proposed for video object segmentation.
The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the ...
详细信息
ISBN:
(数字)9781846282843
ISBN:
(纸本)9781852339890;9781849969918
The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neuralnetworks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the followingchapters.
This book constitutes the refereed proceedings of the First Workshop on Monte Carlo Search, MCS 2020, organized in conjunction with IJCAI 2020. The event was supposed to take place in Yokohama, Japan, in July 202...
详细信息
ISBN:
(数字)9783030894535
ISBN:
(纸本)9783030894528
This book constitutes the refereed proceedings of the First Workshop on Monte Carlo Search, MCS 2020, organized in conjunction with IJCAI 2020. The event was supposed to take place in Yokohama, Japan, in July 2020, but due to the Covid-19 pandemic was held virtually on January 7, 2021.;The 9 full papers of the specialized project were carefully reviewed and selected from 15 submissions. The following topics are covered in the contributions: discrete mathematics in computer science, games, optimization, search algorithms, Monte Carlo methods, neuralnetworks, reinforcement learning, machine learning.
The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image proc...
详细信息
ISBN:
(数字)9783319422947
ISBN:
(纸本)9783319422930
The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and imageprocessing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neuralnetworks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; imageprocessing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and imageprocessing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.
The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering applications of neuralnetworks, EANN 2013, held on Halkidiki, Greece, in September 2013....
详细信息
ISBN:
(数字)9783642410161
ISBN:
(纸本)9783642410154
The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering applications of neuralnetworks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificialneuralnetworks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.
artificial intelligence (AI) is one of the fastest growing disciplines in electronic information technology. Along with diversified data, AI-enabled technologies such as imageprocessing, smart sensors, and intelligen...
artificial intelligence (AI) is one of the fastest growing disciplines in electronic information technology. Along with diversified data, AI-enabled technologies such as imageprocessing, smart sensors, and intelligent inversion, are being tested by researchers in a wide variety of geosciences domains. These technologies have the potential to help geosciences move from qualitative to quantitative analysis. We believe that taking an interdisciplinary approach will deliver benefits to both geosciences and AI. artificial Intelligence in Geosciences is an open access journal providing an interdisciplinary forum where ideas and solutions related to artificial intelligence and its applications in geosciences can be shared and discussed. To support this discussion, we encourage authors to open source their code, data, and the labels used in AI. We welcome both fundamental science and applied research describing the practical applications of AI methods in the fields of geology, rock physics, seismicity, hydrology, ecology, marine geosciences, planetary science, environment, volcanology, oceanography, remote sensing and GIS, and related areas. Submissions to artificial Intelligence in Geosciences may take the form of original research articles, review articles, perspective papers, or short communications, and a variety of topics will be considered. These include, but are not limited to: AI-based decision support systems AI-based precision geosciences Smart sensors and the Internet of Things Geosciences robotics and automation equipment Geosciences knowledge-based systems Computational intelligence in geosciences AI in geosciences optimization management Intelligent interfaces and human-machine interaction Machine vision and image/signal processing Machine learning and pattern recognition neuralnetworks, fuzzy systems, neuro-fuzzy systems Systems modeling and analysis Expert systems in geosciences Big data and cloud computing in geosciences Automatic navigation and self-driv
This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on artificialneuralnetworks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018.;The 29 rev...
详细信息
ISBN:
(数字)9783319999784
ISBN:
(纸本)9783319999777
This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on artificialneuralnetworks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018.;The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.;Chapter "Bounded Rational Decision-Making with Adaptive neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via ***.
The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 pap...
详细信息
ISBN:
(数字)9783319136509
ISBN:
(纸本)9783319136493
The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processingapplications, opinion mining, sentiment analysis, and social network applications, computer vision, imageprocessing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems.
The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neuralnetworks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.
The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on neural Information processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The...
详细信息
ISBN:
(数字)9783319126401
ISBN:
(纸本)9783319126395
The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on neural Information processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neuralnetworks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and imageprocessing, and special sessions intelligent systems for supporting decision, making processes,theories and applications, cognitive robotics, and learning systems for social network and web mining.
暂无评论