Essays about: "Approximate Entropy"

Found 5 essays containing the words Approximate Entropy.

  1. 1. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Liu Mingxuan; [2022]
    Keywords : Approximate Computing; Deep Learning; Dynamic Environments; Object Detection; Online Controller; Semantic SLAM; Ungefärlig Beräkning; Djup Lärning; Dynamiska miljöer; Objektdetektion; Online Kontroller; Semantisk SLAM;

    Abstract : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. READ MORE

  3. 2. Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jing Li; [2021]
    Keywords : Fourier Transform; Wavelet Transform; EEG and ECG Anomaly Detection; Approximate Entropy; Hellinger Distance; Long Short- Term Memory; Fourier Transform; Wavelet Transform; EEG och ECG Anomalidetektion; Approximativ Entropi; Hellinger Distans; Lång Korttidsminne;

    Abstract : Nowadays, a significant proportion of the population in the world is affected by cerebral diseases like epilepsy. In this study, frequency domain features of electroencephalography (EEG) signals were studied and analyzed, with a view being able to detect epileptic seizures more easily. READ MORE

  4. 3. Tactical route planning in battlefield simulations with inverse reinforcement learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emil Broqvist Widham; [2019]
    Keywords : ;

    Abstract : In this report Deep Maximum Entropy Inverse Reinforcement Learning has been applied to the problem of route planning in rough terrain, while taking tactical parameters into account. The tactical parameters that the report focuses on is to avoid detection from predetermined static observers by keeping blocking terrain in the sight line. READ MORE

  5. 4. Summary Statistic Selection with Reinforcement Learning

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Iliam Barkino; [2019]
    Keywords : Summary Statistics; Approximate Bayesian Computation; Reinforcement Learning; Machine Learning; Multi-Armed Bandit; Subset Selection; Minimizing Entropy; Approximate Sufficiency; Direct; Halving; SAR; OCBA-m; Racing;

    Abstract : Multi-armed bandit (MAB) algorithms could be used to select a subset of the k most informative summary statistics, from a pool of m possible summary statistics, by reformulating the subset selection problem as a MAB problem. This is suggested by experiments that tested five MAB algorithms (Direct, Halving, SAR, OCBA-m, and Racing) on the reformulated problem and comparing the results to two established subset selection algorithms (Minimizing Entropy and Approximate Sufficiency). READ MORE

  6. 5. Detecting contacts in protein folds by solving the inverse Potts problem - a pseudolikelihood approach

    University essay from KTH/Matematisk statistik

    Author : Magnus Ekeberg; [2012]
    Keywords : ;

    Abstract : Abstract  Spatially proximate amino acid positions in a protein tend to co-evolve, so a protein's 3D-structure leaves an echo of correlations in the evolutionary record. Reverse engineering 3D-structures from such correlations is an open problem in structural biology, pursued with increasing vigor as new protein sequences continue to fill the data banks. READ MORE