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ICIAP
2007
ACM
15 years 10 months ago
An information theoretic rule for sample size adaptation in particle filtering
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
Oswald Lanz
DAGM
2006
Springer
15 years 1 months ago
Parameterless Isomap with Adaptive Neighborhood Selection
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
Nathan Mekuz, John K. Tsotsos
ICIP
2009
IEEE
14 years 7 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler
ICIP
2008
IEEE
15 years 11 months ago
Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management
A multiresolutional regularization method is proposed for local linear regression that regularizes local mean squared-error by the mean squared-error of a larger neighborhood. The...
Nasiha Hrustemovic, Maya R. Gupta
ICIP
2007
IEEE
15 years 11 months ago
Adaptive Hash-Based Side Information Exploitation for Efficient Wyner-Ziv Video Coding
Wyner-Ziv video coding is a lossy source coding paradigm where the video statistics are exploited, partially or totally at the decoder. The side information represents a noisy ver...
Fernando Pereira, João Ascenso