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PR
2011
14 years 9 months ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
SIAMSC
2011
140views more  SIAMSC 2011»
14 years 9 months ago
A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calcu
Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Wein...
CCS
2011
ACM
14 years 6 months ago
How to tell if your cloud files are vulnerable to drive crashes
This paper presents a new challenge—verifying that a remote server is storing a file in a fault-tolerant manner, i.e., such that it can survive hard-drive failures. We describe...
Kevin D. Bowers, Marten van Dijk, Ari Juels, Alina...
DAGM
2011
Springer
14 years 6 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
IACR
2011
129views more  IACR 2011»
14 years 6 months ago
Bounded Vector Signatures and their Applications
Although malleability is undesirable in traditional digital signatures, schemes with limited malleability properties enable interesting functionalities that may be impossible to o...
Lei Wei, Scott E. Coull, Michael K. Reiter