Results 11 to 20 of about 539,870 (246)

Weakly supervised classification in high energy physics [PDF]

open access: yesJournal of High Energy Physics, 2017
As machine learning algorithms become increasingly sophisticated to exploit subtle features of the data, they often become more dependent on simulations.
Lucio Mwinmaarong Dery   +3 more
doaj   +2 more sources

Weakly Supervised Learning of Objects, Attributes and their Associations [PDF]

open access: yes, 2014
. When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively.
Zhiyuan Shi   +11 more
core   +5 more sources

Automatic annotation for weakly supervised learning of detectors [PDF]

open access: yes, 2012
PhDObject detection in images and action detection in videos are among the most widely studied computer vision problems, with applications in consumer photography, surveillance, and automatic media tagging. Typically, these standard detectors are fully
Siva, Parthipan
core   +4 more sources

Weakly-Supervised Joint Sentiment-Topic Detection from Text [PDF]

open access: yes, 2011
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes a novel probabilistic modeling framework called joint sentiment-topic (JST)
Richard M. Everson (21814214)   +3 more
core   +6 more sources

Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning

open access: yesPlant Phenomics, 2023
Deep learning and computer vision have become emerging tools for diseased plant phenotyping. Most previous studies focused on image-level disease classification.
Lei Zhou   +4 more
doaj   +1 more source

A Weakly Supervised Gas-Path Anomaly Detection Method for Civil Aero-Engines Based on Mapping Relationship Mining of Gas-Path Parameters and Improved Density Peak Clustering

open access: yesSensors, 2021
Gas-path anomalies account for more than 90% of all civil aero-engine anomalies. It is essential to develop accurate gas-path anomaly detection methods.
Hao Sun, Xuyun Fu, Shisheng Zhong
doaj   +1 more source

OVERVIEW OF COMPUTER VISION SUPERVISED LEARNING TECHNIQUES FOR LOW-DATA TRAINING [PDF]

open access: yesJournal of Engineering Science (Chişinău), 2020
In the age of big data and machine learning the costs to turn the data into fuel for the algorithms is prohibitively high. Organizations that can train better models with fewer annotation efforts will have a competitive edge.
BURLACU, Alexandru
doaj   +1 more source

Mapping Paddy Rice Using Weakly Supervised Long Short-Term Memory Network with Time Series Sentinel Optical and SAR Images

open access: yesAgriculture, 2020
Rice is one of the most important staple food sources worldwide. Effective and cheap monitoring of rice planting areas is demanded by many developing countries.
Mo Wang, Jing Wang, Li Chen
doaj   +1 more source

Weakly Supervised Domain Detection

open access: yesTransactions of the Association for Computational Linguistics, 2019
In this paper we introduce domain detection as a new natural language processing task. We argue that the ability to detect textual segments that are domain-heavy (i.e., sentences or phrases that are representative of and provide evidence for a given ...
Xu, Yumo, Lapata, Mirella
doaj   +1 more source

You can simply rely on communities for a robust characterization of stances

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
We show that the structure of communities in social me- dia provides robust information for weakly supervised approaches to assign stances to tweets.
Damián Ariel Furman   +4 more
doaj   +1 more source

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