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An approximate method for computing the distribution

A Secure and Efficient Method for Remote Sensing Imagery Distribution in Cloud Computing

A Secure and Efficient Method for Remote Sensing Imagery Distribution in Cloud Computing

... Cloud computing technology provides with a platform for remotely sensed big data services which can support the storage of huge volume of RSD and efficient on-demand ...cloud computing. The re-encryption ...

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On selection of statistics for approximate Bayesian computing (or the method of simulated moments)

On selection of statistics for approximate Bayesian computing (or the method of simulated moments)

... (which cannot actually be computed) is a posterior mean, conditional on a statistic, rather than the full sample. The BIL estimator has the same asymptotic normal distribution as the optimal GMM estimator that ...

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A Quick Method for Computing Approximate Thresholds for Quantitative Trait Loci Detection

A Quick Method for Computing Approximate Thresholds for Quantitative Trait Loci Detection

... The method may also be Furthermore, it does not seem necessary to use simula- used with IM/CIM on the basis of models that are ex- tions in deriving approximate ...Davies’ method has been used ...

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Approximate In-memory computing on RERAMs

Approximate In-memory computing on RERAMs

... 8: if χ 6= ´χ then 9: ε ← ε + 1 10: return ε solution. The constraint here is that the final solution needs to be sparse otherwise, the cross-bar will have too many paths linking the input and output nano-wires; hence, ...

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Approximate Bayesian computing for spatial extremes

Approximate Bayesian computing for spatial extremes

... such events may include the maximum daily temperature exceeding some high threshold, the minimum daily temperature falling below some low threshold, or the minimum monthly rainfall falling below some low threshold. These ...

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ApproxIoT: Approximate Analytics for Edge Computing

ApproxIoT: Approximate Analytics for Edge Computing

... Gaussian distribution, we generated four types of input sub-streams: A (µ = 10, σ = 5), B (µ = 1000, σ = 50), C (µ = 10000, σ = 500) and D (µ = 100000, σ = ...Poisson distribution, we used four types of ...

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StreamApprox: Approximate Computing for Stream Analytics

StreamApprox: Approximate Computing for Stream Analytics

... For any given latency requirement, we could employ a resource prediction model [42–44]. In particular, we could build the predic- tion model by analyzing the diurnal patterns in resource usage [14] to predict the future ...

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Approximate Computing of Multipliers Through Partial Product Perforation

Approximate Computing of Multipliers Through Partial Product Perforation

... for approximate computing - Approximate computing, which refers to a class of techniques that relax the requirement of exact equivalence between the specification and implementation of a ...

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Compilers for portable programming of heterogeneous parallel & approximate computing systems

Compilers for portable programming of heterogeneous parallel & approximate computing systems

... Virtual ISAs: NVIDIA’s PTX virtual ISA provides portability across NVIDIA GPUs of different sizes and generations. HSAIL [53] and SPIR [54] both provide a portable object code distribution format for a wider class ...

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The ERES method for computing the approximate GCD of several polynomials

The ERES method for computing the approximate GCD of several polynomials

... 3.5 Behavior of the ERES algorithm using hybrid computations The combination of rational and numerical operations aims at the improve- ment of the stability of the ERES algorithm and the presence of good ap- proximate ...

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The ERES method for computing the approximate GCD of several polynomials

The ERES method for computing the approximate GCD of several polynomials

... Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience.. Copyright and Moral Rights remain with the author([r] ...

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The ERES method for computing the approximate GCD of several polynomials

The ERES method for computing the approximate GCD of several polynomials

... 3.5 Behavior of the ERES algorithm using hybrid computations The combination of rational and numerical operations aims at the improve- ment of the stability of the ERES algorithm and the presence of good ap- proximate ...

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Computing approximate Nash equilibria

Computing approximate Nash equilibria

... the approximate Nash ...additive approximate Nash equilibria in bi- matrix and multi-player ...additive approximate Nash equilibria in bimatrix ...additive approximate Nash equilibria in ...

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VLSI Circuits for Approximate Computing

VLSI Circuits for Approximate Computing

... The proposed architecture has been described in Verilog HDL and synthesized in TSMC 40nm CMOS technology using Cadence RTL Compiler. In our case H L = = 4 , therefore 16 precision-scalable Approximate 8-bit MAC ...

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Computing Approximate PSD Factorizations

Computing Approximate PSD Factorizations

... to approximate the PSD cone by a polyhedral cone obtained by intersecting enough tangent ...the approximate factorization, we use some technical results on rescaling PSD factorizations due to Briet et al ...

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Distributed methods for computing approximate equilibria

Distributed methods for computing approximate equilibria

... distributed method to compute approximate Nash equi- libria in bimatrix ...an approximate Nash equilibrium using only limited communication between the play- ...Our method gives improved ...

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Distributed Methods for Computing Approximate Equilibria

Distributed Methods for Computing Approximate Equilibria

... distributed method to compute approximate Nash equilibria in bimatrix ...an approximate Nash equilibrium using only lim- ited communication between the ...Our method gives improved bounds on ...

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Approximate Computing in Coarse Grained Reconfigurable Architecture

Approximate Computing in Coarse Grained Reconfigurable Architecture

... of approximate computing modules and the simulation of the ...Power Approximate Computing Library (lpAClib) from the Chair for Embedded Systems in the Karlsruhe Institute of Technology was ...

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Approximate computing for complexity reduction in timing synchronization

Approximate computing for complexity reduction in timing synchronization

... Abstract This paper presents the design and performance evaluation of a reduced complexity algorithm for timing synchronization. The complexity reduction is obtained via the introduction of approximate ...

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A critical survey on approximate computing 
		with CMOS and memristors

A critical survey on approximate computing with CMOS and memristors

... result, computing becomes increasingly heavy with multimedia ...processing. Approximate computing is regarded as one of the emerging technologies that could produce less-than-optimal results which ...

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