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DCC
2007
IEEE
16 years 10 days ago
Quantization of Sparse Representations
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
Petros Boufounos, Richard G. Baraniuk
APCSAC
2003
IEEE
15 years 6 months ago
Arithmetic Circuits Combining Residue and Signed-Digit Representations
This paper discusses the use of signed-digit representations in the implementation of fast and efficient residue-arithmetic units. Improvements to existing signed-digit modulo adde...
Anders Lindström, Michael Nordseth, Lars Beng...
117
Voted
NIPS
2004
15 years 2 months ago
Algebraic Set Kernels with Application to Inference Over Local Image Representations
This paper presents a general family of algebraic positive definite similarity functions over spaces of matrices with varying column rank. The columns can represent local regions ...
Amnon Shashua, Tamir Hazan
94
Voted
WSC
2008
15 years 3 months ago
Knowledge representation and the dimensions of a multi-model relationship
The exchange of data between different models in a multisimulation environment is about the exchange of information from within the context of two separate worldviews. This amount...
Charles D. Turnitsa, Andreas Tolk
109
Voted
WSC
2004
15 years 2 months ago
Knowledge Representation for Conceptual Simulation Modeling
Simulation is a powerful tool that helps decision makers in business and industry to solve difficult and complex problems, reduce cost, improve quality and productivity, and short...
Ming Zhou, Young Jun Son, Zhimin Chen