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» Learning Low-Level Vision
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CVPR
2004
IEEE
14 years 10 months ago
Atlanta World: An Expectation Maximization Framework for Simultaneous Low-Level Edge Grouping and Camera Calibration in Complex
Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene under...
Grant Schindler, Frank Dellaert
JMM2
2007
122views more  JMM2 2007»
13 years 8 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
SETN
2010
Springer
14 years 3 months ago
A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser
In the last years dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Mal...
Miguel Ballesteros, Jesús Herrera, Virginia...
KI
2008
Springer
13 years 8 months ago
The Enhancement of Low-Level Classifications for Ambient Assisted Living
Abstract. Assisted living means providing the assisted with custom services, specific to their needs and capabilities. Computer monitoring can supply some of these services, be it ...
Rachel E. Goshorn, Deborah Goshorn, Mathias Kö...
ISPW
2006
IEEE
14 years 2 months ago
Automated Recognition of Low-Level Process: A Pilot Validation Study of Zorro for Test-Driven Development
Abstract. Zorro is a system designed to automatically determine whether a developer is complying with the Test-Driven Development (TDD) process. Automated recognition of TDD could ...
Hongbing Kou, Philip M. Johnson