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Classical Chinese Gardens
Seller: BIBLIOPE by Calvello Books, Oakland, CA, U.S.A.
Seller rating 4 out of 5 stars
First Edition
Hardcover. Condition: Near Fine(-). First English language edition. Folio in red DJ, 240 pages, color illustrations, plans, 32 cm. Contents: The art of traditional Chinese gardens -- Imperial gardens: Bei Hai Park -- Summer Palace -- Imperial Summer Resort -- Magnificent Clear Lake -- Private gardens: Ke Garden (Beijing) -- Liu Yong's Garden -- Zhan Garden -- Ge Garden -- Ji Chang Garden -- Zhuo Zheng Garden -- Liu Garden -- Wang Shi Garden -- Lion Grove Garden -- Garden of the Surging Wave Pavilion -- Pleasure Garden -- Crane Garden -- Lotus-Root Garden -- Yu Garden -- Qing Hui Garden -- Ke Garden (Dongguan) -- Yu Yin Villa -- Natural scenic parks and temple gardens: Tan Zhe Temple -- Great Awakening Temple -- Great Brightness Lake -- Jumping Splashing Spring -- Thousand Buddha Hill -- Mochou Lake -- Slender West Lake -- Level Mount Hall -- Golden Mount Temple -- West Lake -- East Lake -- Thatched Hut of Du Fu -- Memorial Temple of Jin -- Wu Hou Memorial Hall -- Five Spring Mountain -- Norbu Lingka. Gardens, Chinese -- Pictorial works. Extremely mild rubbing to spine foot and head, light soiling to fore-edges, exceedingly gentle rubbing to corners, bright pages in tight binding, sunned DJ spine, light ripples to rear DJ, else Near Fiine(+) in Near Fine(-) DJ. in near fine dust-jacket.
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Soft cover. Condition: Good. Softcover, 9 3/4 by 10 1/4 inches, not paginated, between 1/4 and 1/2 inch thick. Many color photos. Text apparently complete, in Chinese and English. Covers have only very slight wear and the pages are clean.
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Condition: As New. Unread book in perfect condition.
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Deep Learning for Human Activity Recognition: Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, ... in Computer and Information Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.26
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US$ 66.15
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Add to basketPF. Condition: New.
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Deep Learning for Human Activity Recognition : Second International Workshop, Dl-har 2020, Held in Conjunction With Ijcai-pricai 2020, Kyoto, Japan, January 8, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.61
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Deep Learning for Human Activity Recognition : Second International Workshop, Dl-har 2020, Held in Conjunction With Ijcai-pricai 2020, Kyoto, Japan, January 8, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 75.51
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Condition: New.
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US$ 80.02
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Add to basketpaperback. Condition: New.
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Deep Learning for Human Activity Recognition: Second International Workshop, Dl-har 2020, Held in Conjunction With Ijcai-pricai 2020, Kyoto, Japan, January 8, 2021, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811605742 ISBN 13: 9789811605741
US$ 88.72
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Add to basketPaperback. Condition: Brand New. 151 pages. 9.25x6.10x0.43 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Ai for Time Series : Unlocking Patterns With Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.10
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Generalization With Deep Learning : For Improvement on Sensing Capability
Language: English
Published by World Scientific Pub Co Inc, 2021
ISBN 10: 9811218838 ISBN 13: 9789811218835
Condition: New.
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Generalization with Deep Learning: For Improvement on Sensing Capability
Language: English
Published by World Scientific Publishing Co, 2021
ISBN 10: 9811218838 ISBN 13: 9789811218835
US$ 105.74
US$ 6.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to baskethardcover. Condition: Very Good. Generalization with Deep Learning: For Improvement on Sensing Capability This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Generalization with Deep Learning: For Improvement on Sensing Capability
Language: English
Published by World Scientific Publishing Co -, 2021
ISBN 10: 9811218838 ISBN 13: 9789811218835
US$ 105.74
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Add to baskethardcover. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
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US$ 98.16
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Add to basketPaperback. Condition: Brand New. 9.18x6.12 inches. In Stock.
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Ai for Time Series : Unlocking Patterns With Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 94.81
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Add to basketCondition: New.
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Generalization With Deep Learning : For Improvement on Sensing Capability
Language: English
Published by World Scientific Pub Co Inc, 2021
ISBN 10: 9811218838 ISBN 13: 9789811218835
Condition: As New. Unread book in perfect condition.
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 104.48
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Postcard of the Qing Dynasty (Second Edition)(Chinese Edition)(Old-Used)
Language: English
ISBN 10: 7300052193 ISBN 13: 9787300052199
paperback. Condition: Good. Language: Chinese . Through a large number of postcards bought abroad by two artists we can learn a lot about Chinas social circumstances in the late Qing dynasty. such as foreigners perception of absurdity and corruption of the Qing government. as well as their contempt of the lack of emotion and ignorance of the mass people at that time. This book manifests the real history which possesses great historical value and is worthy of collection. According to the different scenarios these postcar.
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AI for Time Series (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
US$ 89.84
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Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.In the study of the use of AI for general time series analysis, readers are introduced to a recent important model like TimesNet, which has set new benchmarks for general time series analysis. TimesNet is a cutting-edge model for time series analysis, which transforms one-dimensional time series data into two-dimensional space to better capture temporal variations. This approach allows TimesNet to excel in various tasks such as short- and long-term forecasting, imputation, classification, and anomaly detection. The authors also discuss distribution shift in time series, with an important coverage on the use of AdaTime. This is a benchmarking suite for domain adaptation which addresses distribution shifts in time series data through Unsupervised Domain Adaptation (UDA). In the last section, a significant focus is placed on the emergence of time series foundation models, particularly for forecasting. The book explores pioneering models like Time-LLM, which are designed to offer universal forecasting capabilities across diverse time series tasks.The book can be used as supplementary reading for graduate students taking advanced topics/seminars on advanced deep learning and foundation models. It is also a useful reference for researchers and engineers working on time-series applications in finance, healthcare, energy, and climate. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes refereed proceedings of theSecond International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format.The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.
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Condition: New. Min Wu is currently a Principal Scientist at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore.Emadeldeen Eldele is an Assistant Professor at Khalifa University, UAE.Zhen.
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AI for Time Series : Volume 1: Unlocking Patterns with Deep Learning
Language: English
Published by Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
Taschenbuch. Condition: Neu. Neuware - This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.
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Deep Learning for Human Activity Recognition : Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings
Language: English
Published by Springer Nature Singapore, 2021
ISBN 10: 9811605742 ISBN 13: 9789811605741
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.
