Scaling Analytics via Approximate and Distributed Computing

Scaling Analytics via Approximate and Distributed Computing

Bibliographic Details
Main Author:	Chakrabarti, Aniket
Language:	English
Published:	The Ohio State University / OhioLINK 2017
Subjects:	Computer Science Approximate Computing Distributed Computing Locality Sensitive Hashing Kernel Learning Markov Random Field Pareto Frontier Analytics Frameworks
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=osu1500473400586782

Similar Items

Approximate Bayesian Computation for Discrete Spaces
by: Ilze A. Auzina, et al.
Published: (2021-03-01)

Fast distributed video deduplication via locality-sensitive hashing with similarity ranking
by: Yeguang Li, et al.
Published: (2019-03-01)

Privacy-Preserving Approximate k-Nearest-Neighbors Search that Hides Access, Query and Volume Patterns
by: Boldyreva Alexandra, et al.
Published: (2021-10-01)

An Encrypted Image Retrieval Method Based on Harris Corner Optimization and LSH in Cloud Computing
by: Jiaohua Qin, et al.
Published: (2019-01-01)

A Parallel Algorithm for Query Adaptive, Locality Sensitive Hash Search
by: Carraher, Lee A.
Published: (2012)

Two-Agent Pareto-Scheduling of Minimizing Total Weighted Completion Time and Total Weighted Late Work
by: Yuan Zhang, et al.
Published: (2020-11-01)

Large scale optimization methods for metric and kernel learning
by: Jain, Prateek
Published: (2014)

Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data
by: Carraher, Lee A.
Published: (2018)

Reconfigurable and High-Efficiency Password Recovery Algorithms Based on HRCA
by: Bin Li, et al.
Published: (2021-01-01)

Markov random fields in visual reconstruction : a transputer-based multicomputer implementation
by: Siksik, Ola
Published: (2010)

Similarity Estimation with Non-Transitive LSH
by: Lewis, Robert R.
Published: (2021)

Distributed Local Outlier Factor with Locality-Sensitive Hashing
by: Zheng, Lining
Published: (2019)

CONSIDERATIONS ABOUT ELECTRODYNAMIC FORCES ANALYTICAL COMPUTATION
by: Alina NEAMT, et al.
Published: (2016-12-01)

Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo
by: Anis Ben Abdessalem, et al.
Published: (2017-08-01)

On study of lip segmentation in color space
by: Li, Meng
Published: (2014)

AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning
by: Wilson González-Vanegas, et al.
Published: (2019-09-01)

Perceptually based methods for robust image hashing
by: Monga, Vishal
Published: (2008)

Time Efficient and Quality Effective K Nearest Neighbor Search in High Dimension Space
Published: (2011)

Optimization-based Approximate Dynamic Programming
by: Petrik, Marek
Published: (2010)

Analytical approximation of the transition density in a local volatility model
by: Pagliarani Stefano, et al.
Published: (2012-02-01)

Mining for Frequent Community Structures using Approximate Graph Matching
by: Kolli, Lakshmi Priya
Published: (2021)

Survey on Approximate Computing and Its Intrinsic Fault Tolerance
by: Gennaro Rodrigues, et al.
Published: (2020-03-01)

Efficient Constructions for Deterministic Parallel Random Number Generators and Quantum Key Distribution
by: Ritchie, Robert Peter
Published: (2021)

Locality Sensitive Indexing for Efficient High-Dimensional Query Answering in the Presence of Excluded Regions
Published: (2016)

xUAVs: Towards Efficient Approximate Computing for UAVs—Low Power Approximate Adders With Single LUT Delay for FPGA-Based Aerial Imaging Optimization
by: Tuaha Nomani, et al.
Published: (2020-01-01)

Aplicações do approximate Bayesian computation a controle de qualidade
by: Thiago Feitosa Campos
Published: (2015)

Aplicações do approximate Bayesian computation a controle de qualidade
by: Campos, Thiago Feitosa
Published: (2015)

Approximate Data Analytics Systems
by: Le Quoc, Do
Published: (2018)

Identifying models of trait‐mediated community assembly using random forests and approximate Bayesian computation
by: Megan Ruffley, et al.
Published: (2019-12-01)

SUPPORTING APPROXIMATE COMPUTING ON COARSE GRAINED RE-CONFIGURABLE ARRAY ACCELERATORS
by: Dickerson, Jonathan
Published: (2019)

A probabilistic molecular fingerprint for big data settings
by: Daniel Probst, et al.
Published: (2018-12-01)

Implementação em software de algoritmos de resumo criptográfico
by: Oliveira, Thomaz Eduardo de Figueiredo
Published: (2011)

Estudo e implementação de algoritmos de resumo (hash) criptografico na plataforma Intel 'MARCA REGISTRADA' XScale
by: Tavares, Paulo Henrique
Published: (2006)

Towards a Framework for DHT Distributed Computing
by: Rosen, Andrew
Published: (2016)

An Improved Bytewise Approximate Matching Algorithm Suitable for Files of Dissimilar Sizes
by: Víctor Gayoso Martínez, et al.
Published: (2020-04-01)

Enabling high-performance, mixed-signal approximate computing
by: St Amant, Renee Marie
Published: (2014)

Markov Approximations: The Characterization of Undermodeling Errors
by: Lei, Lei
Published: (2006)

Fast Algorithms for Large-Scale Phylogenetic Reconstruction
by: Truszkowski, Jakub
Published: (2013)

Fast Algorithms for Large-Scale Phylogenetic Reconstruction
by: Truszkowski, Jakub
Published: (2013)

Preimages for SHA-1
by: Motara, Yusuf Moosa
Published: (2018)