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Showing 1 to 9 of 9 for “"Jaccard Index"”.

  1. Segmenting Skin Lesion Attributes in Dermoscopic Images Using Deep Learing Algorithm for Melanoma Detection

    … approach described in the thesis achieved the Jaccard index of 0.477 on the official test dataset, which ranked 5th place in the challenge.

    vt Repository record for Segmenting Skin Lesion Attributes in Dermoscopic Images Using Deep Learing Algorithm for Melanoma Detection (opens in a new tab)

  2. Exploratory Study of Fuzzy Clustering and Set-Distance Based Validation Indexes

    … and new set distance based cluster validation indexes(CVI) are proposed which are the ratio of separation between clusters to compactness within acluster. To this end, a new measure of compactness, compactness of a fuzzy partition is presentedand fuzzy derivative of Pompeiu-Hausdorff distance …

    ohiolink Repository record for Exploratory Study of Fuzzy Clustering and Set-Distance Based Validation Indexes (opens in a new tab)

  3. Deep Learning Based Crop Row Detection

    … dataset, our method obtained a mean IoU or Jaccard Index score of over 70% as reported on the test set. We trained our method on only a subset of the corn dataset and tested its performance on multiple variations of weed pressure and crop growth stages to verify that the performance does …

    iupui Repository record for Deep Learning Based Crop Row Detection (opens in a new tab)

  4. Test-retest Reliability of Intrinsic Human Brain Default-Mode fMRI Connectivity: Slice Acquisition and Physiological Noise Correction Effects

    … (ICC) between sessions and multiple sites, the Jaccard index to evaluate the degree of voxel-wise spatial pattern actiavtion overlap between sessions.

    trento Repository record for Test-retest Reliability of Intrinsic Human Brain Default-Mode fMRI Connectivity: Slice Acquisition and Physiological Noise Correction Effects (opens in a new tab)

  5. Photovoltaics Detection in Satellite Imagery using Deep Learning and Remote Sensing

    … including a mean accuracy of 96.87%, and a Jaccard Index (intersection over union of classified pixels) score of 95.5%. Subjectively, it was found to detect spaces between panels producing a segmentation output better than human labeling. As a final step in the pipeline, a multi-step …

    mit Repository record for Photovoltaics Detection in Satellite Imagery using Deep Learning and Remote Sensing (opens in a new tab)

  6. Improving gesture recognition through spatial focus of attention

    … channels. The resulting system achieves a mean Jaccard Index of 0.7740 compared to the previous best result of 0.6103 on the ChaLearn ConGD dataset without first pre-segmenting the videos into single gesture clips. Human vision has α and β channels for processing different modalities in addition …

    colostate Repository record for Improving gesture recognition through spatial focus of attention (opens in a new tab)

  7. Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven Approach for Smart Cities

    … of radar charts, we used the compactness and Jaccard Index to quantitatively compare the topology profiles. We use the same taxi trips dataset used in the second study to characterize resilience and identify the correlation with network topology. The results indicated a strong correlation …

    vt Repository record for Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven Approach for Smart Cities (opens in a new tab)

  8. The charm of time: Generational comparison, memorable tourism experiences, and quality of life in visits to a world heritage site, Kulangsu

    … time intervals’ influence on MTEs and QoL. The Jaccard index was further applied to support a reasonable transition from qualitative findings and the correlation hypotheses development to the quantitative significance test. This design enabled the study to capture temporal dynamics of tourism …

    waikato-masters Repository record for The charm of time: Generational comparison, memorable tourism experiences, and quality of life in visits to a world heritage site, Kulangsu (opens in a new tab)

  9. Comparative Analysis of Genomic Similarity Tools in Species Identification

    This study presents the development and evaluation of an automated pipeline for genome comparison, leveraging four bioinformatics tools: alignment-based methods (pyANI, Fas- tANI) and k-mer-based methods (Sourmash, BinDash 2.0). The analysis focuses on high- quality genomic datasets characterized …

    vt Repository record for Comparative Analysis of Genomic Similarity Tools in Species Identification (opens in a new tab)