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Finite Difference Computing with PDEs
A Modern Software Approach...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Signal Computing
Digital Signals in the Software Domain...
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Stochastic Belief Propagation: A Low-Complexity Alternative to the Sum-Product Algorithm
The sum-product or belief propagation (BP) algorithm is a widely-used message-passing algorithm for computing marginal distributions in graphical models with discrete variables. At the core of the BP ...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Algorithms for Decision Making
...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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A Linear Dynamical System Model for Text
Low dimensional representations of words allow accurate NLP models to be trained on limited annotated data. While most representations ignore words' local context, a natural way to induce context-depe...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing
Existing methods for retrieving k-nearest neighbours suffer from the curse of dimensionality. We argue this is caused in part by inherent deficiencies of space partitioning, which is the underlying st...
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Problem Solving with Algorithms and Data Structures
...
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DTIC ADA138239: Placing Hidden Surface Removal within the CORE Graphics Standard: An Example.
A Pascal based ACM proposed standard (CORE) graphics system from the University of Pennsylvania was converted to run on an 086/8087 microcomputer. Additionally, a non-restrictive full 3-D hidden surfa...
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RSSI-Based Distributed Self-Localization for Wireless Sensor Networks used in Precision Agriculture
Node localization algorithms that can be easily integrated into deployed wireless sensor networks (WSNs) and which run seamlessly with proprietary lower layer communication protocols running on off-th...
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Tight Bounds for Lp Samplers, Finding Duplicates in Streams, and Related Problems
In this paper, we present near-optimal space bounds for Lp-samplers. Given a stream of updates (additions and subtraction) to the coordinates of an underlying vector x \in R^n, a perfect Lp sampler ou...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Adaptive Component-wise Multiple-Try Metropolis Sampling
One of the most widely used samplers in practice is the component-wise Metropolis-Hastings (CMH) sampler that updates in turn the components of a vector valued Markov chain using accept-reject moves g...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Ranking with Submodular Valuations
We study the problem of ranking with submodular valuations. An instance of this problem consists of a ground set $[m]$, and a collection of $n$ monotone submodular set functions $f^1, \ldots, f^n$, wh...
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Comparison among HB-inspired algorithms for continuous-spin systems and gauge fields
We propose a new local algorithm for the thermalization of n-vector spin models, which can also be used in the numerical simulation of SU(N) lattice gauge theories. The algorithm combines heat-bath (H...
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Variant Construction from Theoretical Foundation to Applications
...
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Coupling SIMD and SIMT architectures to boost performance of a phylogeny-aware alignment kernel.
This article is from BMC Bioinformatics , volume 13 . Abstract Background: Aligning short DNA reads to a reference sequence alignment is a prerequisite for detecting their biological origin and analyz...
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Streamed Learning: One-Pass SVMs
We present a streaming model for large-scale classification (in the context of $\ell_2$-SVM) by leveraging connections between learning and computational geometry. The streaming model imposes the cons...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Graph Algorithms
Practical Examples in Apache Spark and Neo4j...
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Algorithmic Graph Theory and Sage
...
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Coordinate Dual Averaging for Decentralized Online Optimization with Nonseparable Global Objectives
We consider a decentralized online convex optimization problem in a network of agents, where each agent controls only a coordinate (or a part) of the global decision vector. For such a problem, we pro...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Think Data Structures
Algorithms and Information Retrieval in Java...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Linear Selection Indices in Modern Plant Breeding
...
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Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Comm
The paper studies distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and noisy inter-sensor communication. It introduces \emph{separably estimable} o...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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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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Online Adaptive Hidden Markov Model for Multi-Tracker Fusion
In this paper, we propose a novel method for visual object tracking called HMMTxD. The method fuses observations from complementary out-of-the box trackers and a detector by utilizing a hidden Markov ...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
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Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
Word2vec is a widely used algorithm for extracting low-dimensional vector representations of words. State-of-the-art algorithms including those by Mikolov et al. have been parallelized for multi-core ...
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Content-based Dynaic Routing in Structured Overlays Networks
Acyclic overlays used for broker-based publish/subscribe systems provide unique paths for content-based routing from a publisher to interested subscribers. Cyclic overlays may provide multiple paths, ...
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Tools and Algorithms for the Construction and Analysis of Systems
25th International Conference, TACAS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6–11, 2019, Proceedings, Part ...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Foundations of Machine Learning
...
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Bayesian Methods in the Search for MH370
...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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A Characterization of Max-Min SIR-Balanced Power Allocation with Applications
We consider a power-controlled wireless network with an established network topology in which the communication links (transmitter-receiver pairs) are corrupted by the co-channel interference and back...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Understanding Machine Learning
From Theory to Algorithms...
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Biodiversity and Health in the Face of Climate Change
...
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Performance Evaluation of MAODV-BB Algorithm using Network Simulaor2
Vehicular Ad-hoc Networks are the promising approaches to provide safety and other applications to the drivers as well as passengers. A tree topology have high forwarding efficiency and low consumptio...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Representation Learning for Natural Language Processing
...
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Cluster vs Single-Spin Algorithms -- Which are More Efficient?
A comparison between single-cluster and single-spin algorithms is made for the Ising model in 2 and 3 dimensions. We compare the amount of computer time needed to achieve a given level of statistical ...
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Spikes as regularizers
We present a confidence-based single-layer feed-forward learning algorithm SPIRAL (Spike Regularized Adaptive Learning) relying on an encoding of activation spikes. We adaptively update a weight vecto...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Data Structures and Algorithms
Annotated Reference with Examples...
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