5 edition of A comparative analysis of the predictive ability of adaptive forecasting, reestimation and reidentification using Box-Jenkins time series analysis found in the catalog.
Includes bibliographical references (leaf 16).
|Statement||College of Commerce and Business Administration, University of Illinois at Urbana-Champaign|
|Publishers||College of Commerce and Business Administration, University of Illinois at Urbana-Champaign|
|The Physical Object|
|Pagination||xvi, 94 p. :|
|Number of Pages||62|
|2||Faculty working papers -- no. 327.|
|3||Faculty working papers -- no. 327|
nodata File Size: 6MB.
Author : American Institute for Decision Sciences. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.
Hopwood, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Written by the foremost experts from cognitive psychology, cognitive science, and cognitive neuroscience, individual chapters summarize basic concepts and findings for a major topic, sketch its history, and give a sense of the directions in which research is currently heading.
This engaging volume continues the previous style of exploring different disciplines and trying to integrate disciplinary evidence from varying points of view in an organic manner. The key formulae are accompanied by worked examples to show how they can be implemented in practice. This important book offers an in-depth treatment of this question from a point of view not covered in existing works on time-series econometrics and forecasting.
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