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Showing 1 to 20 of 511 for “"ground truth"”.

  1. Ground truth in ultra-dense neural recording

    … such as patch clamp, which report the "ground truth" voltage state of a single neuron in a population. Such recordings would allow for the direct evaluation of spike sorting, which in turn could lead to further development and refinement of spike sorting methods. We developed a technique …

    mit Repository record for Ground truth in ultra-dense neural recording (opens in a new tab)

  2. Inferring Malware Detector Metrics in the Absence of Ground-Truth

    … relatively straightforward to solve if malware ground-truth labels were readily available. However, malware ground-truth labels are extremely costly to obtain in the real world, especially so when a large number of malware examples are involved, which is certainly true in practice. Therefore, …

    tdl Repository record for Inferring Malware Detector Metrics in the Absence of Ground-Truth (opens in a new tab)

  3. Algorithmic Sovereignty: Machine Learning, Ground Truth, and the State of Exception

    … the inherent and contradictory claim to truth that machine learning algorithms make through their model of ‘ground truth,’ which describes the image of reality that a machine learning model uses to make decisions. I conclude that most machine learning technology, and all algorithmic …

    cuny-grad Repository record for Algorithmic Sovereignty: Machine Learning, Ground Truth, and the State of Exception (opens in a new tab)

  4. Large scale ground truth generation for performance evaluation of computer vision methods

    … effort is necessary to generate high quality ground truth data. However, it is not feasible to collect large video ground truths, covering as much scenarios and object categories as possible, by exploiting only the effort of isolated research groups. For these reasons in this thesis we first …

    catania Repository record for Large scale ground truth generation for performance evaluation of computer vision methods (opens in a new tab)

  5. Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms

    … another cannot be conclusively stated until a ground truth standard of comparison is developed. This work develops an optimized version of the FMT algorithm that is dubbed the Front Propagation Tractography (FPT) algorithm. The FPT algorithm includes unique approaches to the speed function, …

    vt Repository record for Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms (opens in a new tab)

  6. Synthetic ground truth of biological shapes — Simulating variable Nuclear Pore Complexes for Microscopy

    … thesis introduces a pipeline that synthesizes ground truth datasets of structurally variable NPCs based on architectural models of the true NPC to benchmark image analysis methods and to help elucidate real-life NPC variability. In this pipeline, N- or C-terminally tagged NPC proteins can be …

    cambridge Repository record for Synthetic ground truth of biological shapes — Simulating variable Nuclear Pore Complexes for Microscopy (opens in a new tab)

  7. Verification of Satellite Derived Precipitation Estimates Over Complex Terrain: A Ground Truth Analysis for Nepal

    Precipitation estimates from the satellite-based Tropical Rainfall Measuring Mission (TRMM) instrumentation play a key role in flood analysis and water resource management across many regions of the world where rain gauge data are sparsely available. Previous studies have produced conflicting …

    vt Repository record for Verification of Satellite Derived Precipitation Estimates Over Complex Terrain: A Ground Truth Analysis for Nepal (opens in a new tab)

  8. Locality of Topographic Ground Truth Data for Salt Marsh Lidar DEM Elevation Bias Mitigation Using Machine Learning

    … unreliable without adjustment based on local ground truth elevations. In this study, Random Forest (RF) DEM adjustment models are trained for two similar Northern Gulf of Mexico salt marshes. The need for local topographic ground truth data to train the models is also investigated. Two …

    embry-riddle Repository record for Locality of Topographic Ground Truth Data for Salt Marsh Lidar DEM Elevation Bias Mitigation Using Machine Learning (opens in a new tab)

  9. CHARACTERIZATION AND ESTIMATION OF MUSCULOSKELETAL PAIN USING MACHINE LEARNING

    … models that are trained using these scores as ground truth are reported to have low performance for objective pain classification because of the huge disparity between what was felt in moments of pain and the scores recorded afterward.</p> <p>In the present study, two devices were designed for …

    usm Repository record for CHARACTERIZATION AND ESTIMATION OF MUSCULOSKELETAL PAIN USING MACHINE LEARNING (opens in a new tab)

  10. The Computation and Visualization of Uncertainty in Surgical Navigation

    … or measured value and the true value (called ground-truth) of a quantity. Uncertainty is the unknown difference between the measured and true values, and exists in the absence of knowledge of ground truth. If one has an algorithm for computing the ground truth then one can get an accurate …

    queens Repository record for The Computation and Visualization of Uncertainty in Surgical Navigation (opens in a new tab)

  11. Computer-Assisted Analysis of Arterial Narrowing in Whole-Body Magnetic Resonance Angiography

    … comparing five different algorithms using 3 ground truth vessel maps annotated manually following a clear protocol. We find that a U-Net convolutional neural network algorithm outperforms previous, well established algorithms despite the limited amount of training data.<br/><br/>To enable the …

    dundee Repository record for Computer-Assisted Analysis of Arterial Narrowing in Whole-Body Magnetic Resonance Angiography (opens in a new tab)

  12. Superpixel Segmentation Systems: Design and Analysis

    … supervised evaluation framework is the need for ground-truth segmentations. With the growing popularity of supervised deep-learning techniques for semantic segmentation, there are large sets of labeled data. When these ground-truth datasets have multiple ground-truth segmentations for each image, …

    arizona-thes Repository record for Superpixel Segmentation Systems: Design and Analysis (opens in a new tab)

  13. Smoothness- transferred random field

    … each training example, we build a RF model with "ground truth smoothness energy", where the compatibility function is constructed from ground truth value. Then, for each test example, we use data-driven method to find its correspondence with training examples. Lastly, we construct the smoothness …

    mit Repository record for Smoothness- transferred random field (opens in a new tab)

  14. Correlating Visual Speaker Gestures with Measures of Audience Engagement to Aid Video Browsing

    … video frames of an instructor giving a lecture. Ground-truth is collected in the form of 2500 manually annotated frames covering 20 minutes of a video lecture. Cross validation on the ground-truth data showed classifier F-scores of 0.54 and 0.39 for point and spread poses, respectively. We also …

    columbia-diss Repository record for Correlating Visual Speaker Gestures with Measures of Audience Engagement to Aid Video Browsing (opens in a new tab)

  15. Utilization of aerial sensor platforms for characterization of land-based, distributed radiological sources for radiological event response

    … and exposure distributions at or near the ground. At this time, ground-truth measurements are necessary to normalize data collected at high altitudes, an operation that may not be feasible in certain scenarios. Furthermore, available prediction and modeling algorithms require multiple …

    ksu Repository record for Utilization of aerial sensor platforms for characterization of land-based, distributed radiological sources for radiological event response (opens in a new tab)

  16. Ground penetrating radar characterization of geologic structure beneath the Aberjona wetland

    Ground penetrating radar (GPR) surveys are performed to determine geologic structure and to assist in the characterization and eventual modeling of ground water flow beneath the Well-H region of the Aberjona River in Woburn, Massachusetts. Even though cone penetrometer and coring studies provide …

    mit Repository record for Ground penetrating radar characterization of geologic structure beneath the Aberjona wetland (opens in a new tab)

  17. G A N mask R-CNN : instance semantic segmentation benefits from generative adversarial networks

    … in the predicted (reconstructed) mask and the ground truth mask -a template matching mechanism. However, any such instance segmentation ConvNet is a generator, so we can lay the problem of predicting masks as a GANs game framework: We can think the ground truth mask is drawn from the true …

    mit Repository record for G A N mask R-CNN : instance semantic segmentation benefits from generative adversarial networks (opens in a new tab)

  18. Kinect cloud normals: towards surface orientation estimation

    … realm. The data they provide is able to serve as ground truth information or training data for a class of algorithms, which would otherwise be extremely difficult, if not impossible, to train. This thesis serves the purpose of gathering data from such a source, specifically, it demonstrates how to …

    uiuc Repository record for Kinect cloud normals: towards surface orientation estimation (opens in a new tab)

  19. Computational illumination for portrait photography and inverse graphics

    … amounts of paired training data with manual ground truth annotations. For many photography or inverse graphics applications however, manual annotation of ground truth labels is not viable. Motivated by this, the research presented in this thesis proposes several portable hardware prototypes …

    mit Repository record for Computational illumination for portrait photography and inverse graphics (opens in a new tab)

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