Publications associées à ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

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Additive Combinatorics and Discrete Logarithm Based Range Protocols

Rafik Chaabouni, Helger Lipmaa

We show how to express an arbitrary integer interval

I = [0, H]

as a sumset

I = \sum_{i=1}^\ell G_i * [0, u - 1] + [0, H']

of smaller integer intervals for some small values

\ell

u

, and

H' < u - 1

, where

b * A = \{b a : a \in A\}

and $A + B = ...

Springer2010

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

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A Compressive Sensing Based Compressed Neural Network for Sound Source Localization

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Moving horizon partition-based state estimation of large-scale systems

Recursive column generation for the Tactical Berth Allocation Problem

Subclass error correcting output codes using fisher's linear discriminant ratio

Spatial Fringe Analysis Methods and their Application to Holographic Interferometry and Fringe Projection Techniques

Additive Combinatorics and Discrete Logarithm Based Range Protocols

Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters

State estimation for large-scale partitioned systems: a moving horizon approach

Robust Duplicate Detection of 2D and 3D Objects

Moving horizon partition-based state estimation of large-scale systems

A Compressive Sensing Based Compressed Neural Network for Sound Source Localization

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Subclass error correcting output codes using fisher's linear discriminant ratio

Recursive column generation for the Tactical Berth Allocation Problem

Robust Duplicate Detection of 2D and 3D Objects

Additive Combinatorics and Discrete Logarithm Based Range Protocols

Spatial Fringe Analysis Methods and their Application to Holographic Interferometry and Fringe Projection Techniques

Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters

State estimation for large-scale partitioned systems: a moving horizon approach