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» On Wiedemann's Method of Solving Sparse Linear Systems
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LSSC
2005
Springer
14 years 2 months ago
Improved Solution Enclosures for Over- and Underdetermined Interval Linear Systems
Abstract. In this paper we discuss an inclusion method for solving rectangular (over- and under-determined) dense linear systems where the input data are uncertain and vary within ...
Evgenija D. Popova
ICASSP
2011
IEEE
13 years 22 days ago
Linear time decoding of real-field codes over high error rate channels
This paper proposes a novel algorithm for decoding real-field codes over erroneous channels, where the encoded message is corrupted by sparse errors, i.e., impulsive noise. The m...
Zaixing He, Takahiro Ogawa, Miki Haseyama
IDA
2002
Springer
13 years 8 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
ICONIP
2007
13 years 10 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ACCV
2006
Springer
14 years 3 months ago
Inverse Volume Rendering Approach to 3D Reconstruction from Multiple Images
This paper presents a method of image-based 3D modeling for intricately-shaped objects, such as a fur, tree leaves and human hair. We formulate the imaging process of these small g...
Shuntaro Yamazaki, Masaaki Mochimaru, Takeo Kanade