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ICA
2010
Springer
13 years 8 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
ASIACRYPT
2009
Springer
14 years 2 months ago
Linearization Framework for Collision Attacks: Application to CubeHash and MD6
In this paper, an improved differential cryptanalysis framework for finding collisions in hash functions is provided. Its principle is based on linearization of compression functi...
Eric Brier, Shahram Khazaei, Willi Meier, Thomas P...
ICA
2004
Springer
14 years 24 days ago
Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA
Abstract. We present a straightforward way to use temporal decorrelation as preprocessing in linear and post-nonlinear independent component analysis (ICA) with higher order statis...
Juha Karvanen, Toshihisa Tanaka
IMA
1995
Springer
97views Cryptology» more  IMA 1995»
13 years 11 months ago
A New Algorithm for Finding Minimum-Weight Words in Large Linear Codes
An algorithm for finding small-weight words in large linear codes is developed and a precise analysis of its complexity is given. It is in particular able to decode random [512,256...
Anne Canteaut
ACL
2007
13 years 8 months ago
Boosting Statistical Machine Translation by Lemmatization and Linear Interpolation
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...
Ruiqiang Zhang, Eiichiro Sumita