Ground Truth
The Temperament Police: The Truth, the Ground Truth, and Nothing but the Truth
... Not all harpsichord CD sleeve notes specify the temper- ament, but when they do, there appears to be a tendency toward the former, prescriptive, approach. It is therefore in- triguing to analyse such recordings and ...
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Uncover the Ground Truth Relations in Distant Supervision: A Neural Expectation Maximization Framework
... and F1 margins between PCNN and PCNN+nEM increase with noise levels. This suggests that nEM keeps better performance than the corre- sponding baseline model under various level of training noise. We also observe that the ...
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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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Content Based Image Retrieval (CBIR) Using Adaptive Ground Truth Composition
... ground truths might not contain the desired ground truth which is suitable to match the input segmentation. Hence such kind of comparison often leads to a certain bias on the result or is far from ...
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A Dataset of Crowdsourced Word Sequences: Collections and Answer Aggregation for Ground Truth Creation
... The target outputs of many NLP tasks are word sequences. To collect the data for training and evaluating models, the crowd is a cheaper and easier to access than the oracle. To ensure the quality of the crowdsourced ...
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Extending English ACE 2005 Corpus Annotation with Ground truth Links to Wikipedia
... In this paper we present an extension of ACE 2005 non-pronominal entity mention annotations with ground-truth links to Wikipedia. This exten- sion is intended for evaluation of accuracy of link- ing entity ...
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MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity
... provide ground-truth data to evaluate spike sorting ...Simulated ground-truth recordings can provide a powerful alternative mean to rank the performance of spike ...
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How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?
... of ground-truth labels and a real-valued vector of ...possible ground-truth vec- tors can be iteratively whittled down using a binary decision tree to a unique value ...
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On generating large-scale ground truth datasets for the deduplication of bibliographic records
... “Ground truth” data sets are thus needed for eval- uating the system’s performance but existing datasets are very ...deduplication ground truth dataset that we hope will be useful to others ...
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Document Clustering: How to Measure Quality of Clusters in Absence of Ground Truth
... Clusters of text data cannot be solely evaluated on basis of extrinsic measures as the ground truth of text documents depends heavily on human perception. The amount of knowledge overlap among documents in ...
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Application of Propagation Modeling to Verify and Discriminate Ground Truth Infrasound Signals at Regional Distances
... file towards IS26. At the same time there were also re- ports about a potential sonic boom from a fighter aircraft in the Western parts of Germany, in the Eifel region. The German Air Force confirmed a supersonic flight ...
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Blotch and scratch removal in archived film using a semi transparent corruption model and a ground truth generation technique
... for ground-truth generation from infrared scans of ...Previous ground-truth generation efforts require manually inpainting the corrupted ...the ground-truth ...
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Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth
... Today, a large part of data capturing human spatial mobility and behavior is being gen- erated as byproducts of digital or online activities, for instance, during mobile phone use (Csáji et al. [9], Ahas et al. [1]) or ...
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Analysis Of Hazy Images Based On K-Means Ground Truth And Quick Shift Segmentation
... Abstract: Quick shift segmentation with optimal parameters claims for better edge visibility, improved color saturation and halo affects. The proposed method is based on grouping of hazy pixels such that it maximizes the ...
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Segmentation Quality Prediction Based on Reverse Classification Accuracy Method in the Absence of ground Truth
... ABSTRACT: Segmentation of Magnetic Resonance Imaging (MRI) and Computed Topography (CT) scan images in medical analysis, especially brain , plays a vital role to inform major decisions of a particular disease. It is ...
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Fast and Accurate Ground Truth Generation for Skew-Tolerance Evaluation of Page Segmentation Algorithms
... the ground truth, can be utilized for judging whether segmentation is correct or not, and how well a given image is ...of ground truths is laborious and often prone to errors, especially if done ...
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Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
... In conclusion, we propose a new adversarial imitation based knowledge distillation approach, to acquire knowledge from raw-sentences for event detection task. Our model learns knowledge representation from ...
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3D Ground Truth Generation Using Pre-Trained Deep Neural Networks
... in terms of size, position, and orientation. Figure 4.4 plots the IOU comparison between the KITTI ground truth and the annotation method. There are three peaks that appear in the histogram of the IOUs. ...
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OPTIMAL CIRCULAR DISTRIBUTION CLUSTERING THROUGH GROUND TRUTH INFERENCE IN CROWDSOURCING
... Cluster means grouping up of set of objects in the same group that are more similar to each other than to those in other groups. The system will performs better while handling clusters of circularly distributed data ...
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Ground Truth for Grammatical Error Correction Metrics
... As with other metrics used in natural language processing tasks, grammatical error correction metrics must be evaluated against ground truth. The inherent subjectivity in what constitutes a grammatical ...
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