Results 1 to 10 of about 52,118 (285)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Interpretation of 3-D scene through LiDAR point clouds has been a hot research topic for decades. To utilize measured points in the scene, assigning unique tags to the points of the scene with labels linking to individual objects plays a crucial role in ...
Yusheng Xu +6 more
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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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An Explorative Analysis of User Evaluation Studies in Information Visualisation [PDF]
, 2006 This paper presents an analysis of user studies from a review of papers describing new visualisation applications and uses these to highlight various issues related to the evaluation of visualisations.
Dix, Alan +3 more
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Mining FDA drug labels using an unsupervised learning technique - topic modeling
BMC Bioinformatics, 2011 Background The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more.
Xu Xiaowei +4 more
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Labeling of cell therapies: How can we get it right?
OncoImmunology, 2017 Labeling cells for non-invasive tracking in vivo using magnetic resonance imaging (MRI) is an emerging hot topic garnering ever increasing attention, yet it is fraught with numerous methodological challenges, which merit careful attention. Several of the
Sonia Waiczies +2 more
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Ground Truth Dataset: Objectionable Web Content
Data, 2022 Cyber parental control aims to filter objectionable web content and prevent children from being exposed to harmful content. Succeeding in detecting and blocking objectionable content depends heavily on the accuracy of the topic model.
Hamza H. M. Altarturi, Nor Badrul Anuar
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Labeling Topics with Images Using a Neural Network [PDF]
, 2017 Topics generated by topic models are usually represented by lists of t terms or alternatively using short phrases or images. The current state-of-the-art work on labeling topics using images selects images by re-ranking a small set of candidates for a given topic.
Aletras, N., Mittal, A.
openaire +2 more sources
Explainable Distance-Based Outlier Detection in Data Streams
IEEE Access, 2022 Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection, and through investigating ...
Theodoros Toliopoulos +1 more
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Context Modeling for Ranking and Tagging Bursty Features in Text Streams
, 2010 Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without taking into account the semantic contexts of terms, and as a result the detected
Dongdong Shan +12 more
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GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 In this paper, we focus on the automatic interpretation of 3D point cloud data in terms of associating a class label to each 3D point. While much effort has recently been spent on this research topic, little attention has been paid to the influencing ...
M. Weinmann +3 more
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