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» Using Data Mining to Estimate Missing Sensor Data
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RAS
2010
167views more  RAS 2010»
15 years 4 months ago
Data association and occlusion handling for vision-based people tracking by mobile robots
This paper presents an approach for tracking multiple persons on a mobile robot with a combination of colour and thermal vision sensors, using several new techniques. First, an ad...
Grzegorz Cielniak, Tom Duckett, Achim J. Lilientha...
IMAGING
2000
15 years 7 months ago
Illuminant Estimation: Beyond the Bases
We describe spectral estimation principles that are useful for color balancing, color conversion, and sensor design. The principles extend conventional estimation methods, which r...
Jeffrey M. DiCarlo, Brian A. Wandell
VLDB
2002
ACM
137views Database» more  VLDB 2002»
15 years 5 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
ICRA
2007
IEEE
207views Robotics» more  ICRA 2007»
16 years 9 days ago
Accurate Motion Estimation and High-Precision 3D Reconstruction by Sensor Fusion
—The CCD camera and the 2D laser range finder are widely used for motion estimation and 3D reconstruction. With their own strengths and weaknesses, low-level fusion of these two ...
Yunsu Bok, Youngbae Hwang, In-So Kweon
IDEAL
2009
Springer
16 years 17 days ago
Supervised Feature Extraction Using Hilbert-Schmidt Norms
We propose a novel, supervised feature extraction procedure, based on an unbiased estimator of the Hilbert-Schmidt independence criterion (HSIC). The proposed procedure can be dire...
Povilas Daniusis, Pranas Vaitkus