Results 31 to 40 of about 1,033,557 (227)
Latent Dirichlet Allocation Models for Image Classification [PDF]
Two new extensions of latent Dirichlet allocation (LDA), denoted topic-supervised LDA (ts-LDA) and class-specific-simplex LDA (css-LDA), are proposed for image classification. An analysis of the supervised LDA models currently used for this task shows that the impact of class information on the topics discovered by these models is very weak in general.
Nikhil Rasiwasia, Nuno Vasconcelos
openaire +5 more sources
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Latent Dirichlet Allocation in predicting clinical trial terminations
Background This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, from the ones that terminate ...
Simon Geletta +2 more
doaj +1 more source
Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation
Before conducting a research project, researchers must find the trends and state of the art in their research field. However, that is not necessarily an easy job for researchers, partly due to the lack of specific tools to filter the required information
Kartika Rizqi Nastiti +2 more
doaj +1 more source
Topic Modeling on Online News.Portal Using Latent Dirichlet Allocation (LDA)
The amount of News displayed on online news portals. Often does not indicate the topic being discussed, but the News can be read and analyzed. You can find the main issues and trends in the News being discussed.
Mohammad Rezza Fahlevvi, Azhari SN
doaj +1 more source
Topic Modeling for Makerspace Artifact Analysis
As the making phenomenon becomes more prevalent, diverse, and vast, it becomes increasingly challenging to identify general temporal or spatial trends in types of making endeavors.
David Wilson +2 more
doaj +1 more source
Partial Membership Latent Dirichlet Allocation
cut to 6 pages, add sunset ...
Chao Chen 0040, Alina Zare, J. Tory Cobb
openaire +3 more sources
Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach
Recent advances in remote sensing technology have provided (very) high spatial resolution Earth Observation data with abundant latent semantic information.
Reza Mohammadi Asiyabi, Mihai Datcu
doaj +1 more source
Slow mixing for Latent Dirichlet Allocation
23 ...
openaire +3 more sources
Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation
Latent Dirichlet allocation allows a semantic annotation of remote sensing ...
Maitre, Henri +5 more
core +3 more sources

