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» The Computational Complexity of Linear Optics
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VTC
2006
IEEE
174views Communications» more  VTC 2006»
16 years 5 days ago
ML Detection with Blind Linear Prediction for Differential Space-Time Block Code Systems
Abstract— This paper proposes a maximum likelihood detection (MLD) method for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of ...
Seree Wanichpakdeedecha, Kazuhiko Fukawa, Hiroshi ...
ARITH
2005
IEEE
15 years 11 months ago
Fast Modular Reduction for Large Wordlengths via One Linear and One Cyclic Convolution
Abstract— Modular reduction is a fundamental operation in cryptographic systems. Most well known modular reduction methods including Barrett’s and Montgomery’s algorithms lev...
Dhananjay S. Phatak, Tom Goff
CIARP
2006
Springer
15 years 10 months ago
A New Approach to Multi-class Linear Dimensionality Reduction
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
Luis Rueda, Myriam Herrera
IMA
1995
Springer
97views Cryptology» more  IMA 1995»
15 years 9 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
JMLR
2008
133views more  JMLR 2008»
15 years 6 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan