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» The Computational Complexity of Linear Optics
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VTC
2006
IEEE
174views Communications» more  VTC 2006»
14 years 2 months 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
14 years 2 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
14 years 19 days 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»
14 years 13 days 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»
13 years 8 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