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» Nonlinear principal component analysis of noisy data
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NIPS
1998
13 years 9 months ago
Probabilistic Image Sensor Fusion
We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locall...
Ravi K. Sharma, Todd K. Leen, Misha Pavel
ACMACE
2007
ACM
13 years 11 months ago
Application of dimensionality reduction techniques to HRTFS for interactive virtual environments
Fundamental to the generation of 3D audio is the HRTF processing of acoustical signals. Unfortunately, given the high dimensionality of HRTFs, incorporating them into dynamic/inte...
Bill Kapralos, Nathan Mekuz
LREC
2010
144views Education» more  LREC 2010»
13 years 9 months ago
Towards an Improved Methodology for Automated Readability Prediction
Since the first half of the 20th century, readability formulas have been widely employed to automatically predict the readability of an unseen text. In this article, the formulas ...
Philip van Oosten, Dries Tanghe, Véronique ...
AMSTERDAM
2009
13 years 5 months ago
Natural Color Categories Are Convex Sets
The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey....
Gerhard Jäger
IROS
2006
IEEE
148views Robotics» more  IROS 2006»
14 years 1 months ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano