Pattern Recognition Approach Data (21 results)

Condition: Good. 1st Edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Condition: Good. *Price HAS BEEN REDUCED by 10% until Monday, Dec. 1 (SALE item)* 223 pp., hardcover, ex library, else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Hardcover. Condition: Very Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDVery good copy with clean pages and dust jacket.

Condition: New.

Condition: New. SUPER FAST SHIPPING.

Condition: New. In.

Paperback. Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA | Building a software application for organizing scanned data | Ivan Mitzev | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639297843 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.

Paperback. Condition: Like New. Like New. book.

Taschenbuch. Condition: Neu. Alzheimer's Disease Estimation | A Pattern Recognition based Approach using MRI and Genotype Data | Saima Farhan (u. a.) | Taschenbuch | 164 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659772177 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Learning Structured Data for Human Action Analysis | A unified approach for visual pattern recognition | Tuan Hue Thi | Taschenbuch | 228 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846548332 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condition: Brand New. 228 pages. 8.66x5.91x0.52 inches. In Stock.

Paperback. Condition: Brand New. 228 pages. 8.66x5.91x0.52 inches. In Stock.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of. 240 pp. Englisch.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 420.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Alzheimer's disease, a progressive neurodegenerative disorder of the brain, is a major cause of death around the globe. Clinical symptoms of the disease appear at later stages, however, modern brain imaging techniques have enabled us to non-invasively visualize the internal structures of the brain and identify structural and functional changes well before time. Early detection of the disease is crucial for the patient, care givers and relatives to cope with the situation as well as for medical practitioners to discover new drugs. A novel image processing based approach is proposed for early identification of Alzheimer's disease from MRI of the brain. Features used are different tissue densities and size of hippocampus. Seven classification models are used for identification of patients and controls. Results are obtained using image features, genetic features and combination of the both. Image features produced best classification of cases and controls. On the other hand, genetic data can be very useful in predicting the risk of disease. The proposed approach has achieved higher accuracy/specificity/sensitivity values even using smaller feature set.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a unified solution to the challenging problem of human action analysis in video. Human action is represented as a structured set of local features so that different structured learning models can be applied to classify and localise action instances in video databases. A wide range of factors for a good human action analysis is also analysed. At the feature level, different detectors, descriptors and selectors will be employed, while at the learning level, different types of models will be proposed and described. Lastly, at the evaluation level, a few different datasets will be used to analyse the applicability of each structured learning model under different test scenarios. The analysis obtained from this work has confirmed that the structured learning of local features is an effective potential approach for the task of analysing human action. It helps not only to create a significant bridge between traditional approaches of local and global features, but also to provide a foundational guideline for future work in this direction. Many other potential applications in visual pattern recognition can also be developed using the frameworks developed in this book.