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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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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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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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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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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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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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Representation Learning for Natural Language Processing
...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Solving PDEs in Python
The FEniCS Tutorial I...
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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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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Software for Exascale Computing - SPPEXA 2016-2019
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Biodiversity and Health in the Face of Climate Change
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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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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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SVD Based Features for Image Retrieval
In this paper we present a new method for Content Based Image Retrieval (CBIR). Image signature computed by using the Singular Value Decomposition (SVD). Singular values used as a feature are obtained...
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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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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
View Book →Extending the boolean and vector space models of information retrieval with p-norm queries and multi
First published in 1983...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Developing Graphics Frameworks with Python and OpenGL
...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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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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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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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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Finite Difference Computing with PDEs
A Modern Software Approach...
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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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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Algorithmic Graph Theory and Sage
...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Signal Computing
Digital Signals in the Software Domain...
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Bayesian Methods in the Search for MH370
...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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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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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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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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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Anisotropy Across Fields and Scales
...
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Understanding Machine Learning
From Theory to Algorithms...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Foundations of Machine Learning
...
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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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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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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Linear Selection Indices in Modern Plant Breeding
...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Advances in information retrieval : 27th European Conference on IR Research, ECIR 2005, Santiago de
1 online resource (xvii, 572 pages) :...
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Variant Construction from Theoretical Foundation to Applications
...
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