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ICASSP
2010
IEEE
15 years 7 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
ICIP
2005
IEEE
16 years 8 months ago
Largest-eigenvalue-theory for incremental principal component analysis
In this paper, we present a novel algorithm for incremental principal component analysis. Based on the LargestEigenvalue-Theory, i.e. the eigenvector associated with the largest ei...
Shuicheng Yan, Xiaoou Tang
ICIP
2004
IEEE
16 years 8 months ago
Advances in texture analysis-energy dominant component & multiple hypothesis testing
Modelling textured images as AM-FM functions has been applied during the last years to texture analysis and segmentation tasks. In this paper we present some advances in two direc...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
ICIAP
2009
ACM
16 years 7 months ago
Connected Component Labeling Techniques on Modern Architectures
In this paper we present an overview of the historical evolution of connected component labeling algorithms, and in particular the ones applied on images stored in raster scan orde...
Costantino Grana, Daniele Borghesani, Rita Cucchia...
IWSOS
2009
Springer
16 years 1 months ago
Laying Pheromone Trails for Balanced and Dependable Component Mappings
This paper presents an optimization framework for finding efficient deployment mappings of replicated service components (to nodes), while accounting for multiple services simult...
Máté J. Csorba, Hein Meling, Poul E....