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Software for Exascale Computing - SPPEXA 2016-2019
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Improved Densification of One Permutation Hashing
The existing work on densification of one permutation hashing reduces the query processing cost of the $(K,L)$-parameterized Locality Sensitive Hashing (LSH) algorithm with minwise hashing, from $O(dK...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Understanding Machine Learning
From Theory to Algorithms...
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12. Comp Sci IJCSEITR The Effect Of Similarity Measures On Genetic FATIMA MOHY ELDIN AZZAM
Genetic algorithms (GAs) can be used in information retrieval (IR) to optimize the query "solution”. This paper proposes a GA-based IR algorithm that adjusts the weights of keywords of a query in or...
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Anisotropy Across Fields and Scales
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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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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Artificial intelligence system for driver distraction by stacked deep learning classification
Increasing efforts in the transportation system have recently improved driver safety and reduced crash rates. Lack of attention and fatigue directly affect the driver's consciousness. Driver distracti...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Spectral Approaches to Nearest Neighbor Search
We study spectral algorithms for the high-dimensional Nearest Neighbor Search problem (NNS). In particular, we consider a semi-random setting where a dataset $P$ in $\mathbb{R}^d$ is chosen arbitraril...
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Self-Taught Hashing for Fast Similarity Search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is semantic hashing which d...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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The Definitive Guide to Graph Databases
for the RDBMS Developer...
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Linear Selection Indices in Modern Plant Breeding
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Variant Construction from Theoretical Foundation to Applications
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An important landmarks construction for a GIS-Map based on indexing of dolly images
In this paper, we describe the construction of important landmarks of roads in the GIS environment. The system uses the corners between more than two roads as an important landmarks. In this corner po...
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DTIC ADA552040: Observation of Query Pulse Length Dependent Ramsey Interference in Rubidium Vapor Us
We report observation of query pulse length dependent Ramsey interference (QPLD-RI), using pulsed Raman excitation in rubidium vapor. This is observed when a long, attenuated query pulse is used durin...
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Signal Computing
Digital Signals in the Software Domain...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Approximate Nearest Neighbor Search by Residual Vector Quantization.
This article is from Sensors (Basel, Switzerland) , volume 10 . Abstract A recently proposed product quantization method is efficient for large scale approximate nearest neighbor search, however, its ...
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A method for integrating and ranking the evidence for biochemical pathways by mining reactions from
This article is from Bioinformatics , volume 29 . Abstract Motivation: To create, verify and maintain pathway models, curators must discover and assess knowledge distributed over the vast body of biol...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Representation Learning for Natural Language Processing
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Leveraging Image based Prior for Visual Place Recognition
In this study, we propose a novel scene descriptor for visual place recognition. Unlike popular bag-of-words scene descriptors which rely on a library of vector quantized visual features, our proposed...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Biodiversity and Health in the Face of Climate Change
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Query-based image tagging model using ensemble learning with enhanced artificial bee colony optimiza
Digital images make up most multimedia data and are analysed in computer vision applications. Daily uploads of millions of pictures to Internet archives such as satellite image repositories complicate...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Bayesian Methods in the Search for MH370
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dec :: pdp11 :: rsx11 :: RSX11M V2 :: DEC-11-OMIGIA-B-D SYSGEN 75
From the bitsavers.org collection, a scanned-in computer-related document. dec :: pdp11 :: rsx11 :: RSX11M V2 :: DEC-11-OMIGIA-B-D SYSGEN 75...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Lexicon Infused Phrase Embeddings for Named Entity Resolution
Most state-of-the-art approaches for named-entity recognition (NER) use semi supervised information in the form of word clusters and lexicons. Recently neural network-based language models have been e...
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Performance Tuning with SQL Server Dynamic Management Views
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Analysis of Text Classification Algorithms A Review
Classification of data has become an important research area. The process of classifying documents into predefined categories based on their content is Text classification. It is the automated assignm...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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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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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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SQL Injection Attack Detection Based on Similarity Matching Between Vectors Extracted From Design Ti
Everyone uses web-based applications to carry out daily business and personal tasks. These programmes are vulnerable to attack by hackers, who may also misuse the data. The most serious attack with th...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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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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Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval
Joint modeling of language and vision has been drawing increasing interest. A multimodal data representation allowing for bidirectional retrieval of images by sentences and vice versa is a key aspect....
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Algorithmic Graph Theory and Sage
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Sieving for closest lattice vectors (with preprocessing)
Lattice-based cryptography has recently emerged as a prime candidate for efficient and secure post-quantum cryptography. The two main hard problems underlying its security are the shortest vector prob...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products
VRFP is a real-time video retrieval framework based on short text input queries, which obtains weakly labeled training images from the web after the query is known. The retrieved web images representi...
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