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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
View Book →NASA Technical Reports Server (NTRS) 20120016331: Method and system for efficient video compression
Disclosed are a method and system for video compression, wherein the video encoder has low computational complexity and high compression efficiency. The disclosed system comprises a video encoder and ...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Variant Construction from Theoretical Foundation to Applications
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View Book →Decoding by Linear Programming
This paper considers the classical error correcting problem which is frequently discussed in coding theory. We wish to recover an input vector $f \in \R^n$ from corrupted measurements $y = A f + e$. H...
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A comparison of model-based VQ compression with other VQ approaches
First published in 1995...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Enhancing network security using unsupervised learning approach to combat zero-day attack
Machine learning (ML) and advanced neural network methodologies like deep learning (DL) techniques have been increasingly utilized in developing intrusion detection systems (IDS). However, the growing...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
View Book →An introduction to human molecular genetics : mechanisms of inherited diseases
1 online resource (631 pages) :...
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Signal Computing
Digital Signals in the Software Domain...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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SHO-FA: Robust compressive sensing with order-optimal complexity, measurements, and bits
Suppose x is any exactly k-sparse vector in R^n. We present a class of sparse matrices A, and a corresponding algorithm that we call SHO-FA (for Short and Fast) that, with high probability over A, can...
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Foundations of Machine Learning
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →Exact Sparse Recovery with L0 Projections
Many applications concern sparse signals, for example, detecting anomalies from the differences between consecutive images taken by surveillance cameras. This paper focuses on the problem of recoverin...
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NASA Technical Reports Server (NTRS) 19910008719: An Explicit Upwind Algorithm for Solving the Parab
An explicit, upwind algorithm was developed for the direct (noniterative) integration of the 3-D Parabolized Navier-Stokes (PNS) equations in a generalized coordinate system. The new algorithm uses up...
View Book →List Decoding Barnes-Wall Lattices
The question of list decoding error-correcting codes over finite fields (under the Hamming metric) has been widely studied in recent years. Motivated by the similar discrete structure of linear codes ...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
View Book →Decoding Emotional Experience through Physiological Signal Processing
There is an increasing consensus among re- searchers that making a computer emotionally intelligent with the ability to decode human affective states would allow a more meaningful and natural way of h...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Expander $\ell_0$-Decoding
We introduce two new algorithms, Serial-$\ell_0$ and Parallel-$\ell_0$ for solving a large underdetermined linear system of equations $y = Ax \in \mathbb{R}^m$ when it is known that $x \in \mathbb{R}^...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Biodiversity and Health in the Face of Climate Change
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Algorithmic Graph Theory and Sage
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Satellite communications fundamentals
xix, 487 p. : 24 cm. +...
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DTIC ADA097709: An Approach to Assessing the Seriousness of Error Types and the Predictability of Fu
Brown & Burton found 108 bugs in whole-number subtraction problems. Tatsuoka et. al., found 57 bugs in signed-number arithmetic. This study attempts to develop a method for quantifying these numerous ...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
View Book →Enumerative Coding for Line Polar Grassmannians with applications to codes
A $k$-polar Grassmannian is the geometry having as pointset the set of all $k$-dimensional subspaces of a vector space $V$ which are totally isotropic for a given non-degenerate bilinear form $\mu$ de...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Solving PDEs in Python
The FEniCS Tutorial I...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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[An efficient system for reliably transmitting image and video data over low bit rate noise]
First published in 1994...
View Book →DTIC ADA197242: Euclidean Decoders for BCH Codes
This report investigates conventional decoding algorithms for BCH codes. The algorithm of Sugiyama, Kasahara, Hirasawa and Namekawa, Mills' continued fraction algorithm, and the Berlekamp-Massey algor...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Use of a $d$-Constraint During LDPC Decoding in a Bliss Scheme
Bliss schemes of a run length limited (RLL) codec in combination with an LDPC codec, generate LDPC parity bits over a systematic sequence of RLL channel bits that are inherently redundant as they sati...
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Anisotropy Across Fields and Scales
...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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The Finite State MAC with Cooperative Encoders and Delayed CSI
In this paper, we consider the finite-state multiple access channel (MAC) with partially cooperative encoders and delayed channel state information (CSI). Partial cooperation here is in the sense that...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Marginalized Particle Filtering and Related Filtering Techniques as Message Passing
In this manuscript a factor graph approach is employed to investigate the recursive filtering problem for a mixed linear/nonlinear state-space model, i.e. for a model whose state vector can be partiti...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Developing Graphics Frameworks with Python and OpenGL
...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Representation Learning for Natural Language Processing
...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Linear Selection Indices in Modern Plant Breeding
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Bayesian Methods in the Search for MH370
...
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Understanding Machine Learning
From Theory to Algorithms...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
View Book →Direct Polarization for q-ary Source and Channel Coding
It has been shown that an extension of the basic binary polar transformation also polarizes over finite fields. With it the direct encoding of q-ary sources and channels is a process that can be imple...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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A Greedy Algorithm of Data-Dependent User Selection for Fast Fading Gaussian Vector Broadcast Channe
User selection (US) with Zero-forcing beamforming is considered in fast fading Gaussian vector broadcast channels with perfect channel state information (CSI) at the transmitter. A novel criterion for...
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Finite Difference Computing with PDEs
A Modern Software Approach...
View Book →Information Nonanticipative Rate Distortion Function and Its Applications
This paper investigates applications of nonanticipative Rate Distortion Function (RDF) in a) zero-delay Joint Source-Channel Coding (JSCC) design based on average and excess distortion probability, b)...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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