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Video has rich information including meta-data, visual, audio,
spatial and temporal data which can be analysed to extract a
variety of low and high-level features to build predictive
computational models using machine-learning algorithms to discover
interesting patterns, concepts, relations, and associations. This
book includes a review of essential topics and discussion of
emerging methods and potential applications of video data mining
and analytics. It integrates areas like intelligent systems, data
mining and knowledge discovery, big data analytics, machine
learning, neural network, and deep learning with focus on
multimodality video analytics and recent advances in
research/applications. Features: Provides up-to-date coverage of
the state-of-the-art techniques in intelligent video analytics.
Explores important applications that require techniques from both
artificial intelligence and computer vision. Describes
multimodality video analytics for different applications. Examines
issues related to multimodality data fusion and highlights research
challenges. Integrates various techniques from video processing,
data mining and machine learning which has many emerging indoors
and outdoors applications of smart cameras in smart environments,
smart homes, and smart cities. This book aims at researchers,
professionals and graduate students in image processing, video
analytics, computer science and engineering, signal processing,
machine learning, and electrical engineering.
This book offers to readers a selection of refereed papers that
were presented at the Sixth International Symposium on Intelligent
Systems Technologies and Applications (ISTA'20). All submissions
were evaluated on the basis of their significance, novelty, and
technical quality. This book consists of 28 papers (19 regular and
9 short papers) that were virtually presented at the Symposium. The
papers cover different areas such as big data analytics, security
and privacy, Internet of things, machine and deep learning, health
informatics, visual computing, signal processing, and natural
language processing. The book is directed to the researchers and
scientists engaged in various fields of intelligent systems.
This book explores and discusses various aspects of intelligent
systems technologies and their applications. Presenting the
refereed post-conference proceedings of the 5th International
Symposium on Intelligent Systems Technologies and Applications
(ISTA 2019), held at the Indian Institute of Information Technology
and Management-Kerala (IIITM-K), Trivandrum, India, on December
18-21, 2019, it covers a variety of topics, such as knowledge
discovery, data mining, pattern recognition, signal processing,
intelligent image processing, artificial vision, ad hoc and
wireless sensor networks, business intelligence and big data
analytics.
This book contains a selection of refereed and revised papers of
Intelligent Informatics Track originally presented at the third
International Symposium on Intelligent Informatics (ISI-2014),
September 24-27, 2014, Delhi, India. The papers selected for this
Track cover several intelligent informatics and related topics
including signal processing, pattern recognition, image processing
data mining and their applications.
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Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III (Paperback, 1st ed. 2017)
Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M El-Alfy
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R3,170
Discovery Miles 31 700
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Ships in 10 - 15 working days
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The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637,
LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd
International Conference on Neural Information Processing, ICONIP
2017, held in Guangzhou, China, in November 2017. The 563 full
papers presented were carefully reviewed and selected from 856
submissions. The 6 volumes are organized in topical sections on
Machine Learning, Reinforcement Learning, Big Data Analysis, Deep
Learning, Brain-Computer Interface, Computational Finance, Computer
Vision, Neurodynamics, Sensory Perception and Decision Making,
Computational Intelligence, Neural Data Analysis, Biomedical
Engineering, Emotion and Bayesian Networks, Data Mining,
Time-Series Analysis, Social Networks, Bioinformatics, Information
Security and Social Cognition, Robotics and Control, Pattern
Recognition, Neuromorphic Hardware and Speech Processing.
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Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part V (Paperback, 1st ed. 2017)
Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M El-Alfy
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R3,164
Discovery Miles 31 640
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Ships in 10 - 15 working days
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The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637,
LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd
International Conference on Neural Information Processing, ICONIP
2017, held in Guangzhou, China, in November 2017. The 563 full
papers presented were carefully reviewed and selected from 856
submissions. The 6 volumes are organized in topical sections on
Machine Learning, Reinforcement Learning, Big Data Analysis, Deep
Learning, Brain-Computer Interface, Computational Finance, Computer
Vision, Neurodynamics, Sensory Perception and Decision Making,
Computational Intelligence, Neural Data Analysis, Biomedical
Engineering, Emotion and Bayesian Networks, Data Mining,
Time-Series Analysis, Social Networks, Bioinformatics, Information
Security and Social Cognition, Robotics and Control, Pattern
Recognition, Neuromorphic Hardware and Speech Processing.
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Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI (Paperback, 1st ed. 2017)
Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M El-Alfy
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R3,158
Discovery Miles 31 580
|
Ships in 10 - 15 working days
|
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637,
LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd
International Conference on Neural Information Processing, ICONIP
2017, held in Guangzhou, China, in November 2017. The 563 full
papers presented were carefully reviewed and selected from 856
submissions. The 6 volumes are organized in topical sections on
Machine Learning, Reinforcement Learning, Big Data Analysis, Deep
Learning, Brain-Computer Interface, Computational Finance, Computer
Vision, Neurodynamics, Sensory Perception and Decision Making,
Computational Intelligence, Neural Data Analysis, Biomedical
Engineering, Emotion and Bayesian Networks, Data Mining,
Time-Series Analysis, Social Networks, Bioinformatics, Information
Security and Social Cognition, Robotics and Control, Pattern
Recognition, Neuromorphic Hardware and Speech Processing.
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Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I (Paperback, 1st ed. 2017)
Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M El-Alfy
|
R3,166
Discovery Miles 31 660
|
Ships in 10 - 15 working days
|
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637,
LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd
International Conference on Neural Information Processing, ICONIP
2017, held in Guangzhou, China, in November 2017. The 563 full
papers presented were carefully reviewed and selected from 856
submissions. The 6 volumes are organized in topical sections on
Machine Learning, Reinforcement Learning, Big Data Analysis, Deep
Learning, Brain-Computer Interface, Computational Finance, Computer
Vision, Neurodynamics, Sensory Perception and Decision Making,
Computational Intelligence, Neural Data Analysis, Biomedical
Engineering, Emotion and Bayesian Networks, Data Mining,
Time-Series Analysis, Social Networks, Bioinformatics, Information
Security and Social Cognition, Robotics and Control, Pattern
Recognition, Neuromorphic Hardware and Speech Processing.
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Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part IV (Paperback, 1st ed. 2017)
Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M El-Alfy
|
R3,153
Discovery Miles 31 530
|
Ships in 10 - 15 working days
|
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637,
LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd
International Conference on Neural Information Processing, ICONIP
2017, held in Guangzhou, China, in November 2017. The 563 full
papers presented were carefully reviewed and selected from 856
submissions. The 6 volumes are organized in topical sections on
Machine Learning, Reinforcement Learning, Big Data Analysis, Deep
Learning, Brain-Computer Interface, Computational Finance, Computer
Vision, Neurodynamics, Sensory Perception and Decision Making,
Computational Intelligence, Neural Data Analysis, Biomedical
Engineering, Emotion and Bayesian Networks, Data Mining,
Time-Series Analysis, Social Networks, Bioinformatics, Information
Security and Social Cognition, Robotics and Control, Pattern
Recognition, Neuromorphic Hardware and Speech Processing.
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Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II (Paperback, 1st ed. 2017)
Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M El-Alfy
|
R3,162
Discovery Miles 31 620
|
Ships in 10 - 15 working days
|
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637,
LNCS 10638, and LNCS 10639 constituts the proceedings of the 24rd
International Conference on Neural Information Processing, ICONIP
2017, held in Guangzhou, China, in November 2017. The 563 full
papers presented were carefully reviewed and selected from 856
submissions. The 6 volumes are organized in topical sections on
Machine Learning, Reinforcement Learning, Big Data Analysis, Deep
Learning, Brain-Computer Interface, Computational Finance, Computer
Vision, Neurodynamics, Sensory Perception and Decision Making,
Computational Intelligence, Neural Data Analysis, Biomedical
Engineering, Emotion and Bayesian Networks, Data Mining,
Time-Series Analysis, Social Networks, Bioinformatics, Information
Security and Social Cognition, Robotics and Control, Pattern
Recognition, Neuromorphic Hardware and Speech Processing.
The recent explosion in complex global networking architectures has
spurred a concomitant rise in the need for robust information
security. Further, as computing power increases exponentially with
every passing year, so do the number of proposed cryptographic
schemata for improving and ensuring the encryption integrity of
cutting-edge infosec protocols. Improving Information Security
Practices through Computation Intelligence presents an overview of
the latest and greatest research in the field, touching on such
topics as cryptology, stream ciphers, and intrusion detection, and
providing new insights to an audience of students, teachers, and
entry-level researchers working in computational intelligence,
information security, and security engineering.
With the rapid evolution of cyberspace, computing, communications
and sensing technologies, organizations and individuals rely more
and more on new applications such as fog and cloud computing, smart
cities, Internet of Things (IoT), collaborative computing, and
virtual and mixed reality environments. Maintaining their security,
trustworthiness and resilience to cyber-attacks has become crucial
which requires innovative and creative cyber security and
resiliency solutions. Computing algorithms have been developed to
mimic the operation of natural processes, phenomena and organisms
such as artificial neural networks, swarm intelligence, deep
learning systems, biomimicry, and more. The amazing characteristics
of these systems offer a plethora of novel methodologies and
opportunities to cope with emerging cyber challenges. This edited
book presents a timely review of the fundamentals, latest
developments and diverse applications of nature-inspired algorithms
in cyber security and resiliency. Topics include bio-inspired
collaboration and cyber security; immune-based defense and
resiliency; bio-inspired security and resiliency of network
traffic; nature inspired machine learning approach for cyber
security; nature-inspired algorithms in A.I. for malicious activity
detection; DNA-inspired characterization and detection of novel
social Twitter spambots; nature-inspired approaches for social
network security; bio-inspired cyber-security for smart grid;
nature-inspired cryptography and cryptanalysis, and more.
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