Results 21 to 30 of about 218,873 (322)
Automatically labeling hierarchical clusters [PDF]
Proceedings of the 2006 international conference on Digital government research, 2006 Government agencies must often quickly organize and analyze large amounts of textual information, for example comments received as part of notice and comment rulemaking. Hierarchical organization is popular because it represents information at different levels of detail and is convenient for interactive browsing. Good hierarchical clustering algorithms
Pucktada Treeratpituk, Jamie Callan
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Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014 [PDF]
, 2018 Topic models are widely used in natural language processing, allowing researchers to estimate the underlying themes in a collection of documents. Most topic models use unsupervised methods and hence require the additional step of attaching meaningful ...
Herzog, Alexander +2 more
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Real-Time Video Smoke Detection Based on Deep Domain Adaptation for Injection Molding Machines
Mathematics, 2023 Leakage with smoke is often accompanied by fire and explosion hazards. Detecting smoke helps gain time for crisis management. This study aims to address this issue by establishing a video smoke detection system, based on a convolutional neural network ...
Ssu-Han Chen +9 more
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Frontiers in Human Neuroscience, 2020 Pitch labeling in absolute pitch (AP), the ability to recognize the pitch class of a sound without an external reference, is effortless, fast, and presumably automatic. Previous studies have shown that pitch labeling in AP can interfere with task demands.
Marielle Greber +2 more
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Automatic Structural Scene Digitalization [PDF]
, 2017 In this paper, we present an automatic system for the analysis and labeling of structural scenes, floor plan drawings in Computer-aided Design (CAD) format.
Cosker, Darren +3 more
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Toward Automatically Labeling Situations in Soccer [PDF]
Frontiers in Sports and Active Living, 2021 We study the automatic annotation of situations in soccer games. At first sight, this translates nicely into a standard supervised learning problem. However, in a fully supervised setting, predictive accuracies are supposed to correlate positively with the amount of labeled situations: more labeled training data simply promise better performance ...
Dennis Fassmeyer +5 more
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Remote Sensing, 2023 We propose a fully automatic annotation scheme that takes a raw 3D point cloud with a set of fitted CAD models as input and outputs convincing point-wise labels that can be used as cheap training data for point cloud segmentation.
Galadrielle Humblot-Renaux +2 more
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The Latin Music Database [PDF]
, 2008 In this paper we present the Latin Music Database, a novel database of Latin musical recordings which has been developed for automatic music genre classification, but can also be used in other music information retrieval tasks.
Kaestner, Celso A.A. +2 more
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Crowdsourced Rumour Identification During Emergencies [PDF]
, 2015 When a significant event occurs, many social media users leverage platforms such as Twitter to track that event. Moreover, emergency response agencies are increasingly looking to social media as a source of real-time information about such events ...
Macdonald, Craig +2 more
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Survey of Automatic Labeling Methods for Topic Models [PDF]
Jisuanji kexue yu tansuo, 2023 Topic models are often used in modeling unstructured corpora and discrete data to extract the latent topic. As topics are generally expressed in the form of word lists, it is usually difficult for users to understand the meanings of topics, especially ...
HE Dongbin, TAO Sha, ZHU Yanhong, REN Yanzhao, CHU Yunxia
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