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ICA
2012
Springer
14 years 1 months ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
ICPR
2010
IEEE
15 years 8 months ago
A Fast Extension for Sparse Representation on Robust Face Recognition
We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whil...
Hui-Ning Qiu, Duc-Son Pham, Wanquan Liu, Svetha Ve...
ICONIP
2007
15 years 7 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
ICASSP
2011
IEEE
14 years 9 months ago
Single-frame-based rain removal via image decomposition
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image has been rarely st...
Yu-Hsiang Fu, Li-Wei Kang, Chia-Wen Lin, Chiou-Tin...
JMLR
2006
190views more  JMLR 2006»
15 years 6 months ago
Causal Graph Based Decomposition of Factored MDPs
We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...
Anders Jonsson, Andrew G. Barto