Ground truth for classification
On Refining Twitter Lists as Ground Truth Data for Multi-Community User Classification
... However, ground truth datasets obtained using such lists can be noisy, since not all users that belong to a community are good training examples for that ...a ground truth dataset generated ...
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Segmentation Performance Prediction of Medical Images using Reverse Classification Accuracy Method in the Absence of ground Truth
... Accuracy Classification (RCA) framework that predicts the performance of a segmentation method on new ...the truth saved in ...of classification, a reverse way of testing is followed which lead to ...
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Ground truth? Concept-based communities versus the external classification of physics manuscripts
... the ground truth necessarily follows from a given classification criterion; however, the considered data may contain more than that single type of information (perhaps in conflict one with each ...the ...
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Segmentation Quality Prediction Based on Reverse Classification Accuracy Method in the Absence of ground Truth
... V. R ESULT AND PERFORMANCE ANALYSIS A. Performance Metrics for Prediction Accuracy: The Dices similarity coefficient is the most widely used measure for evaluating segmentation performance , and the main results in this ...
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Effect of “Ground Truth” on Image Binarization
... Keywords-Image Binarization, Ground Truthing, De- graded document images, Performance Evaluation I. I NTRODUCTION Optical Character Recognition (OCR) involves more than classification algorithms. All stages ...
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3. Developing Ground Truth Data
... For selecting appropriate instances, several selection strate- gies have been proposed based on the two criteria, informa- tiveness and representativeness (Huang et al., 2010). Infor- mativeness measures the usefulness ...
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Ground Truth for Layout Analysis Performance Evaluation
... Over the past two decades a significant number of layout analysis (mostly page segmentation and region classification) approaches have been proposed in the literature. Each approach has been devised for and/or ...
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Interactive removal and ground truth for difficult shadow scenes
... Pre-processing provides a detected shadow mask and a fusion image to assist penumbra unwrapping. Although there have been automatic methods for shadow detection ( e.g. [2, 3, 18–20, 28]), results are dependent on ...
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Ground truth extraction from LiDAR data for image orthorectification
... WANG Changyao, DU Zitao, LIU Zhengjun, LIU Yonghong Study on Decision Tree Land Cover Classification Based on MODIS Data ……………………………..39 Jing Wang, Yuhuan Li, Yongqi Chen, Ting He, Chunyan Lv Hyperspectral ...
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Statistic Metrics for Evaluation of Binary Classifiers without Ground-Truth
... known Ground Truth (GT) and evaluate the quality by standard comparison ...enough Ground Truth [1], [2], [3] it is necessary to use alternative ...multiple classification systems as a ...
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Twitter Language Identification Of Similar Languages And Dialects Without Ground Truth
... We present a new method to bootstrap filter Twitter language ID labels in our dataset for automatic language identifica- tion (LID). Our method combines geo- location, original Twitter LID labels, and Amazon Mechanical ...
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Ground truth generation in medical imaging: a crowdsourcing–based iterative approach
... finer–grained classification was not very accurate, even though the judge- ments considered are only those from contributors with more than 70% overall accuracy compared to a given gold stan- ...
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The Temperament Police: The Truth, the Ground Truth, and Nothing but the Truth
... that ground truth is not always scientific truth, and that content-based analysis has an important role in the study of historical performance ...
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Ground Truth for Grammatical Error Correction Metrics
... 3 Yahoo Labs Abstract How do we know which grammatical error correction (GEC) system is best? A num- ber of metrics have been proposed over the years, each motivated by weaknesses of previous metrics; however, the ...
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Eliciting Perceptual Ground Truth for Image Segmentation
... • Many figures when viewed as wholes, have preferred, distinguished or singular positions. Driver & Baylis’s [DB95] empirical analyses led them to conclude that figure/ground assignment results in a description of ...
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CiteSeerX — On the collection of robot-pose Ground-Truth, for
... In using scan alignment we defined a specific robot pose as the laser-based GT frame, and aligned all scans with respect to this frame. However, an automatic procedure for aligning laser range observations recorded at ...
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Automatic Ground Truth Expansion for Timeline Evaluation
... mary ground truth labels fail to generalize to new summarization systems, then we propose and evaluate new automatic solutions to this ...automatic ground truth label expansion ...
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Implementation of realistic scenarios for ground truth purposes
... The main objective of this dissertation is to create a controlled emulation environment or emulation lab, that can support multiple network nodes, moderate sized network topologies, mu[r] ...
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A Ground Truth For Half A Million Musical Incipits
... our ground truth that is ranked higher than the threshold relevant and the rest of the matches ...this ground truth must then mention this threshold ...our ground truth, but ...
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A Framework for Obtaining the Ground-Truth in Architectural Recovery
... of ground-truth recoveries due to the colossal effort required for an engineer to produce such a ...The ground-truth recoveries that are available are often of smaller systems, which reduce ...
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