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» Dimensionality reduction and generalization
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ICASSP
2011
IEEE
14 years 10 months ago
Eigenspace sparsity for compression and denoising
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...
Ioannis D. Schizas, Georgios B. Giannakis
JMLR
2012
13 years 9 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
IMA
2005
Springer
52views Cryptology» more  IMA 2005»
16 years 6 days ago
Domain Expansion of MACs: Alternative Uses of the FIL-MAC
In this paper, a study of a paradigm for domain expansion of MACs is generalized. In particular, a tradeoff between the efficiency of a MAC and the tightness of its security reduc...
Ueli M. Maurer, Johan Sjödin
RTA
2004
Springer
16 years 2 days ago
A Type-Based Termination Criterion for Dependently-Typed Higher-Order Rewrite Systems
Several authors devised type-based termination criteria for ML-like languages allowing non-structural recursive calls. We extend these works to general rewriting and dependent type...
Frédéric Blanqui
LOGCOM
2000
103views more  LOGCOM 2000»
15 years 6 months ago
A geometric proof of confluence by decreasing diagrams
The criterion for confluence using decreasing diagrams is a generalization of several well-known confluence criteria act rewriting, such as the strong confluence lemma. We give a ...
Jan Willem Klop, Vincent van Oostrom, Roel C. de V...