Krishnan Narayanan C (9 results)

Softcover. Octavo, Four volumes only (lacks fifth volume). In Good plus condition. Spines are variously colored with white and gold print. Covers are variously colored; slight shelf wear. Text blocks for Parts 2-4 have inscription in ink on front flyleaf. Illustrated: b&w frontispiece portrait, b&w drawings. CONTENTS: Part I. The First Floods (1999; ISBN 0333933095), xlviii, 313 pages - Part II. The Cyclone (2000; ISBN 0333933001), xviii, 331 pages - Part III. The Killer Sword ( 2001; ISBN 033393301X), xix, 314 pages - Part IV. The Crown (2001; ISBN 0333933079), xix, 284 pages. [Oversized book(s). Additional postage necessary for expedited/international orders. Economy International shipping unavailable due to size/weight restrictions. For international/expedited customers, please inquire for rates]. NOTE: Shelved in Locked Annex Area, Multi-volume Section. 1412057. FP New Rockville Stock.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

Condition: New.

Hardback. Condition: New. Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following: Discovering activity patterns that emerge from behavior-based sensor dataRecognizing occurrences of predefined or discovered activities in real timePredicting the occurrences of activities The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use.With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 1st edition. 288 pages. 9.75x6.75x1.00 inches. In Stock.

Hardback. Condition: New. Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following: Discovering activity patterns that emerge from behavior-based sensor dataRecognizing occurrences of predefined or discovered activities in real timePredicting the occurrences of activities The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use.With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.