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Maximum likelihood from incomplete data via the EM algorithm

by A. P. Dempster, N. M. Laird, D. B. Rubin - JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B , 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
Abstract - Cited by 11972 (17 self) - Add to MetaCart
A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value

PORTABILITY IN COMPUTER VISION APPLICATIONS

by Gonzalo Gabriel Méndez
"... ABSTRACT: As a feature exhibited by software that can be ported to a new environment or platform, portability is recognized as a desirable attribute of a software product. In this context, Computer Vision (CV) systems often implicate a development process that not always guarantees high portability ..."
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corresponding solutions are presented together with the elements that should be considered in a cross-development process. Moreover, as an experimental demonstration of the presented concepts, a portable computer vision application that uses the Microsoft Kinect 3D camera as input device is presented and its

and Computer Vision]: Applications

by Raf Ramakers, Davy Vanacken, Kris Luyten, Karin Coninx, Johannes Schöning
"... Interactive surfaces have great potential for co-located collaboration because of their ability to track multiple inputs simultaneously. However, the multi-user experience on these devices could be enriched significantly if touch points could be associated with a particular user. Existing approaches ..."
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surface. Author Keywords Interactive tabletops; surface computing; multi-touch interaction; multi-user applications; user identification.

FOR COMPUTER VISION APPLICATIONS

by Universiti Tunku, Abdul Rahman , 2011
"... ii ..."
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Abstract not found

Synthetic Movies for Computer Vision Applications

by Santuari Lanz And
"... This paper presents a real time graphical simulator based on a client-server architecture. The rendering engine, supported by a specialized client application for the automatic generation of goal oriented motion of synthetic characters, is used to produce realistic image sequences for extensive perf ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
performance assessment of computer vision algorithms for people tracking.

Globally optimal bilinear programming for computer vision applications

by Manmohan Chandraker, David Kriegman , 2008
"... We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies on constructing tight convex relaxations of the objective function and minimizing it in a branch and bound framework. A ke ..."
Abstract - Cited by 10 (1 self) - Add to MetaCart
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies on constructing tight convex relaxations of the objective function and minimizing it in a branch and bound framework. A

CV-SDF - A model for Real-Time Computer Vision Applications

by Dirk Stichling, Bernd Kleinjohann , 2002
"... This paper presents a model for real-time computer vision applications based on the synchronous data flow (SDF) methodology. To accomplish the needs of computer vision applications (mainly access to pixel neighborhood and access to previous video frames) a new buffer concept called Structured Buffer ..."
Abstract - Cited by 6 (2 self) - Add to MetaCart
This paper presents a model for real-time computer vision applications based on the synchronous data flow (SDF) methodology. To accomplish the needs of computer vision applications (mainly access to pixel neighborhood and access to previous video frames) a new buffer concept called Structured

Combined central and subspace clustering for computer vision applications

by Le Lu, René Vidal - In Proceedings of the 23rd International Conference on Machine Learning , 2006
"... Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many practical scenarios, e.g., when data are close to the intersection of subspaces or when two cluster centers in different subsp ..."
Abstract - Cited by 16 (2 self) - Add to MetaCart
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many practical scenarios, e.g., when data are close to the intersection of subspaces or when two cluster centers in different

R.: Synthetic movies for computer vision applications

by A. Santuari, O. Lanz, R. Brunelli - In: Proc. 3rd IASTED International Conference: Visualization, Imaging, and Image Processing (VIIP 2003) Number 1 , 2003
"... This paper presents a real time graphical simulator based on a client-server architecture. The rendering engine, supported by a specialized client application for the automatic generation of goal oriented motion of synthetic characters, is used to produce realistic image sequences for extensive perf ..."
Abstract - Cited by 10 (2 self) - Add to MetaCart
performance assessment of computer vision algorithms for people tracking.

Interactive Visual Prototyping of Computer Vision Applications

by Dan Maynes-Aminzade
"... ABSTRACT Cameras are a useful source of input for many interactive applications, but computer vision programming requires specialized knowledge that is out of reach for many HCI practitioners. My thesis is that by using visual examples to train computer vision classifiers, and combining trained cla ..."
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ABSTRACT Cameras are a useful source of input for many interactive applications, but computer vision programming requires specialized knowledge that is out of reach for many HCI practitioners. My thesis is that by using visual examples to train computer vision classifiers, and combining trained
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