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  1. Zepworks
    https://zepworks.com/deepdiff/current/diff.html

    DeepDiff — DeepDiff 7.0.1 documentation - Zepworks

    get_deep_distance: Boolean, default = False. Get Deep Distance will get you the deep distance between objects. The distance is a number between 0 and 1 where zero means there is no diff between the 2 objects and 1 means they are very different. Note that this number should only be used to compare the similarity of 2 objects and nothing more.
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  2. Towards Data Science
    https://towardsdatascience.com/neural-n…

    Neural Networks Intuitions: 9. Distance Metric Learning

    WebAug 18, 2020 · Towards Data Science. ·. 6 min read. ·. Aug 18, 2020. --. 1. Welcome back to my series Neural Networks Intuitions. In this ninth …

    • Estimated Reading Time: 8 mins
      Tags:
      Deep Distance
      Deep Learning
      Distance Metric Learning
      Inter Class Distance
    • Zepworks
      https://zepworks.com/deepdiff/current/deep_distance.html

      Deep Distance — DeepDiff 7.0.1 documentation - Zepworks

      Tags:
      Deep Distance
      Deepdiff Stats
    • Studies of deep distance
      National Center for Biotechnology Information
      A Boosting-Based Deep Distance Metric Learning Method
      By leveraging neural networks, deep distance metric learning has yielded impressive results in computer vision applications. However, the existing approaches mostly focus a single deep distance metric based on pairs or triplets of samples. It is difficult
      Author: Zilong Li
      Published: 2022
      Publication: Comput I…
      arXiv.org
      Deep Distance Transform for Tubular Structure Segmentation in CT Scans
      Tubular structure segmentation in medical images, e.g., segmenting vessels in CT scans, serves as a vital step in the use of computers to aid in screening early stages of related diseases. But automatic tubular structure segmentation in CT scans is a
      Author: Wang, Yan, W…
      Published: 2019/12/06
      Cite As: arXiv:1912.03…
      National Center for Biotechnology Information
      Learn to segment single cells with deep distance estimator and deep cell detector
      Automated segmentation has become an area of focused research for both clinical and basic science applications due to the time and labor these automated efforts could save clinicians and investigators over traditional, manual methods (Arbelle et al.,
      Author: Weikang Wan…
      Published: 2019/05
      DOI: 10.1016/j.compbio…
      arXiv.org
      Deep Distance Sensitivity Oracles
      One of the most fundamental graph problems is finding a shortest path from a source to a target node. While in its basic forms the problem has been studied extensively and efficient algorithms are known, it becomes significantly harder as soon as parts
      Author: Jeong, Davin, …
      Published: 2022/11/02
      Cite As: arXiv:2211.02…
    • Analytics Vidhya
      https://www.analyticsvidhya.com/blog/2020/02/4...

      Understanding Distance Metrics Used in Machine Learning

    • National Center for Biotechnology Information
      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940547

      A Boosting-Based Deep Distance Metric Learning Method - PMC

      Tags:
      Deep Distance
      Deep Learning
      Distance Metric Learning
    • arXiv.org
      https://arxiv.org/abs/1912.03383

      Deep Distance Transform for Tubular Structure Segmentation in …

      Tags:
      Deep Distance
      Publish Year:2019
      Computerized Axial Tomography
    • National Center for Biotechnology Information
      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781873

      Learn to segment single cells with deep distance estimator and …

      Tags:
      Deep Distance
      Publish Year:2019
      10.1016/j.compbiomed.2019.04.006
    • Zepworks
      https://zepworks.com/posts/deepdiff-5-r…

      DeepDiff 5 Is Here! - Zepworks

      WebJun 22, 2020 · Deep Distance is the distance between 2 objects. It is a floating point number between 0 and 1. Deep Distance in concept is inspired by Levenshtein Edit Distance. At its core, the Deep Distance is …

    • arXiv.org
      https://arxiv.org/abs/2211.02681

      [2211.02681] Deep Distance Sensitivity Oracles - arXiv.org

      Tags:
      Deep Learning
      Data Structures
      Deep Distance Sensitivity Oracles
    • AAAI
      https://aaai.org/papers/08045-i-sea-importance...

      I-SEA: Importance Sampling and Expected Alignment-Based Deep …

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