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Books on the topic 'Classification/segmentation'

Author: Grafiati
Published: 1 June 2024

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1

Sithole, George. Segmentation and classification of airborne laser scanner data. Delft: Nederlandse Commissie voor Geodesie, 2005.

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2

Charters, Graham Castree. Segmentation and classification in automated chromosome analysis using trainable models. Manchester: University of Manchester, 1994.

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3

Shusharina, Nadya, Mattias P. Heinrich, and Ruobing Huang, eds. Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71827-5.

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4

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118908686.

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5

K, Kokula Krishna Hari, ed. An Image Segmentation and Classification for Brain Tumor Detection using Pillar K-Means Algorithm. Chennai, India: Association of Scientists, Developers and Faculties, 2016.

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6

Abkar, Ali Akbar. Likelihood-based segmentation and classification of remotely sensed images: A Bayesian optimization approach for combining RS and GIS. Enschede, The Netherlands: International Institute for Aerospace Survey and Earth Sciences, 1999.

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7

Antonacopoulos, A. Page segmentation and classification using the description of the background: A flexible and efficient approach for documents with complex and traditional layouts. Manchester: UMIST, 1995.

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8

Afanas'ev, Mihail, Mihail Bendikov, and Stanislav Korunov. Fundamentals of the economy of space activities. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1018193.

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Abstract:
The textbook describes in detail the classification of space goods and services, the segments and sectors of the global space market, the development prospects and the positioning of Russian enterprises in them. The methodological feature of the course consists in new approaches to the segmentation of the market and areas of space activities, identifying their deep relationships with the space industry. The practical side of the course is aimed at studying the methodology and practice of space project management, space pricing, organization of placement and execution of space government orders, and market analytics. The tutorial contains test questions for each chapter, test tasks, and a wide selection of topics for course design. The subject of the course papers is related to the specific activities of the enterprises of the space industry. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for third-year undergraduate and graduate students specializing in the field of training 38.03.01 and 38.04.01 "Economics" in the specialties "Economics of Space activities", "Economics of high-tech industries".
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9

Intelmann, Steven S. Automated, objective texture segmentation of multibeam echosounder data: Seafloor survey and substrate maps from James Island to Ozette Lake, Washington outer coast. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, National Marine Sanctuary Program, 2007.

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10

Suri, Jasjit S., and Ayman S. El-Baz. Artificial Intelligence Strategies for Brain Tumor Diagnosis: Segmentation and Classification Strategies in MRI. Elsevier Science & Technology Books, 2023.

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11

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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12

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals: The Stockwell Transform Applied on Bio-signals and Electric Signals. Wiley-Interscience, 2014.

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13

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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14

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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15

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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16

Shusharina, Nadya, Mattias P. Heinrich, and Ruobing Huang. Segmentation, Classification, and Registration of Multi-Modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Springer International Publishing AG, 2021.

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