Efficient locality-sensitive hashing over high-dimensional streaming data
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DOI: 10.1007/s00521-020-05336-1
Abstract: Approximate nearest neighbor (ANN) search in high-dimensional spaces is fundamental in many applications. Locality-sensitive hashing (LSH) is a well-known methodology to solve the ANN problem. Existing LSH-based ANN solutions typically employ a large number of… read more here.
Keywords: streaming data; sensitive hashing; dimensional streaming; high dimensional ... See more keywords
Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data
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DOI: 10.1007/s11063-021-10599-3
Abstract: We present an approach for efficiently training Gaussian Mixture Model (GMM) by Stochastic Gradient Descent (SGD) with non-stationary, high-dimensional streaming data. Our training scheme does not require data-driven parameter initialization (e.g., k-means) and can thus… read more here.
Keywords: high dimensional; streaming data; gaussian mixture; training gaussian ... See more keywords
Three-dimensional streaming around an obstacle in a Hele-Shaw cell
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2023.276
Abstract: Abstract Driving oscillatory flow around an obstacle generates, due to inertial rectification, a steady ‘streaming’ flow that is useful in a host of microfluidic applications. While theory has focused largely on two-dimensional flows, streaming in… read more here.
Keywords: three dimensional; streaming around; hele shaw; dimensional streaming ... See more keywords