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» Online Selection of Tracking Features using AdaBoost
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CANDC
2005
ACM
15 years 4 months ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
ICPR
2010
IEEE
15 years 2 months ago
Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion
Next-best-view (NBV) planning is an important aspect for three-dimensional (3D) reconstruction within controlled environments, such as a camera mounted on a robotic arm. NBV metho...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
GLVLSI
2009
IEEE
92views VLSI» more  GLVLSI 2009»
15 years 11 months ago
Online circuit reliability monitoring
In this work we propose an online reliability tracking framework that utilizes a hybrid network of on-chip temperature and delay sensors together with a circuit reliability macrom...
Bin Zhang
IUI
2006
ACM
15 years 10 months ago
Are two talking heads better than one?: when should use more than one agent in e-learning?
Recent interest in the use of software character agents raises the issue of how many agents should be used in online learning. In this paper we review evidence concerning the rela...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
173
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WACV
2005
IEEE
15 years 9 months ago
Combining View-Based and Model-Based Tracking of Articulated Human Movements
Many existing systems for human body tracking are based on dynamic model-based tracking that is driven by local image features. Alternatively, within a view-based approach, tracki...
Cristóbal Curio, Martin A. Giese