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What is Randomized Decision Forest (RDF)

Encyclopedia of Information Science and Technology, Fourth Edition
An ensemble learning method for classification and regression that can operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes output by individual trees.
Published in Chapter:
Kinect Applications in Healthcare
Roanna Lun (Cleveland State University, USA) and Wenbing Zhao (Cleveland State University, USA)
Copyright: © 2018 |Pages: 10
DOI: 10.4018/978-1-5225-2255-3.ch511
Abstract
Microsoft Kinect is one of the most popular inexpensive gadgets released in recent years. Kinect is equipped with a color camera, a depth camera, and a microphone array. The device allows users to interact with a computer via a natural user interface in terms of gestures or voice commands. We believe that the research and development on using Kinect technology in healthcare will gain more momentum. The demand of Kinect-based applications is high, due to Kinect's low cost and portability, and its accurate and robust motion detection capability. In this chapter, we survey the current applications of using the Kinect technology in healthcare. Furthermore, we outline a number of open research issues that could overcome the limitations of the current Kinect technology.
Full Text Chapter Download: US $37.50 Add to Cart
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A Survey of Using Microsoft Kinect in Healthcare
An ensemble learning method for classification and regression that can operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes output by individual trees.
Full Text Chapter Download: US $37.50 Add to Cart
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