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Use of genetic algorithms for query improvement in information retrieval based on a vector space mod
First published in 1994...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
This paper addresses the problem of large scale image retrieval, with the aim of accurately ranking the similarity of a large number of images to a given query image. To achieve this, we propose a nov...
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Understanding Machine Learning
From Theory to Algorithms...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Similarity Search and Locality Sensitive Hashing using TCAMs
Similarity search methods are widely used as kernels in various machine learning applications. Nearest neighbor search (NNS) algorithms are often used to retrieve similar entries, given a query. While...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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A Novel Hybrid Classification Approach for Sentiment Analysis of Text Document
Sentiment analysis is a more popular area of highly active research in Automatic Language Processing. She assigns a negative or positive polarity to one or more entities using different natural langua...
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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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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Asymmetric Feature Maps with Application to Sketch Based Retrieval
We propose a novel concept of asymmetric feature maps (AFM), which allows to evaluate multiple kernels between a query and database entries without increasing the memory requirements. To demonstrate t...
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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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Signal Computing
Digital Signals in the Software Domain...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Variations in Party Line Information Requirements for Flight Crew Situation Awareness in the Datalin
Current Air Traffic Control communications use shared very high frequency (VHF) voice frequencies from which pilots can obtain 'Party Line' Information (PLI) by overhearing communications addressed to...
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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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Document Ranking using Customizes Vector Method
Information retrieval (IR) system is about positioning reports utilizing client's question and get the important records from extensive dataset. Archive positioning is fundamentally looking the pertin...
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Anisotropy Across Fields and Scales
...
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Predicting Unemployment Claims Using Regional and Exogenous Signals: A Sparse Modeling Approach
In this paper we apply a time series based Vector Auto Regressive (VAR) approach to the problem of predicting unemployment insurance claims in different census regions of the United States. Unemployme...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Particular object retrieval with integral max-pooling of CNN activations
Recently, image representation built upon Convolutional Neural Network (CNN) has been shown to provide effective descriptors for image search, outperforming pre-CNN features as short-vector representa...
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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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Quantum Query as a State Decomposition
The Quantum Query Model is a framework that allows us to express most known quantum algorithms. Algorithms represented by this model consist on a set of unitary operators acting over a finite Hilbert ...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Query Clustering using Segment Specific Context Embeddings
This paper presents a novel query clustering approach to capture the broad interest areas of users querying search engines. We make use of recent advances in NLP - word2vec and extend it to get query2...
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PQTable: Non-exhaustive Fast Search for Product-quantized Codes using Hash Tables
In this paper, we propose a product quantization table (PQTable); a fast search method for product-quantized codes via hash-tables. An identifier of each database vector is associated with the slot of...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Bayesian Methods in the Search for MH370
...
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Extending the boolean and vector space models of information retrieval with p-norm queries and multi
First published in 1983...
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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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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Algorithmic Graph Theory and Sage
...
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Variant Construction from Theoretical Foundation to Applications
...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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sovereign-frequency-archive
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>THE SOVEREIGN FREQUENCY...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Representation Learning for Natural Language Processing
...
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Foundations of Machine Learning
...
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Online Learning to Rank with Feedback at the Top
We consider an online learning to rank setting in which, at each round, an oblivious adversary generates a list of $m$ documents, pertaining to a query, and the learner produces scores to rank the doc...
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Quantization based Fast Inner Product Search
We propose a quantization based approach for fast approximate Maximum Inner Product Search (MIPS). Each database vector is quantized in multiple subspaces via a set of codebooks, learned directly by m...
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Developing Graphics Frameworks with Python and OpenGL
...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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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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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Linear Selection Indices in Modern Plant Breeding
...
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