Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 37 for “"DTW"”.
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Automatische Detektion menschlichen Kopfnickens und Wege zur Interpretation
… sowohl auf Basis von Dynamic Time Warping (DTW) als auch einer Support Vektor Maschine (SVM) realisiert. Dieses wird mit Hilfe von realitätsnahen Anwendungsszenarien und einer erweiterten Kreuzvalidierung getestet; In den umgesetzten Varianten zeigt SVM eine geringfügig höhere Erkennungsrate …
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How to Rank Answers in Text Mining
… about answers. We present the methodology CEW-DTW and assess its performance about ranking quality. Based on the CEW-DTW, we improve this methodology by combining Kullback-Leibler divergence with CEW-DTW, since Kullback-Leibler divergence can check the difference of probability distributions in …
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Unsupervised machine learning and k-Means clustering as a way of discovering anomalous events In continuous seismic time series
… from the overall waveform. Dynamic Time Warping (DTW) was used as the method for comparing seismic subsequences. DTW barycenter averaging (DBA) was used as the method for averaging multiple subsequences within a group of similiar shapes. Clustering is able to discover anomalously shaped parts of a …
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Metoda dynamického borcení času
… zabývá popisem metody dynamického borcení času (DTW), jejím principem, variantami a způsobem výpočtu. Dále vyjmenovává některé typické případy její implementace.
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Unsupervised speech processing with applications to query-by-example spoken term detection
… based methods for Dynamic Time Warping (DTW) based pattern matching algorithms. Both algorithms greatly outperform the conventional DTW in a single-threaded computing environment. Third, we describe the parallel implementation of the lower-bounded DTW search algorithm. Experimental …
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Dynamic Time Warping Constraints for Semiconductor Processing
… inherent to the process. Dynamic time warping (DTW) can be used for temporal alignment of signals, but is computationally expensive and prone to errors. In this thesis, a new method is presented for preprocessing semiconductor fabrication sensor signals that improves anomaly detection model …
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Time Series classification through transformation and ensembles
… Euclidean distance or Dynamic Time Warping (DTW). Though conceptually simple, many have reported that NN classifiers are very diffi�cult to beat and new work is often compared to NN classifiers. The majority of approaches have focused on classification in the time domain, typically proposing …
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Physiological Synchrony Predicts Cooperative Behavior with High Stakes
… correlation (ISC) and dynamic time warping (DTW). The DTW analyses revealed the no trust participants exhibited greater PS than low trust participants. DTW also indicated that high trust individuals exhibited greater PS than low and medium trust individuals, consistent with my expectation. …
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Speech Recognition under Stress
… three techniques, Dynamic Time Warping (DTW), Hidden Markov Models (HMM), and Hidden Control Neural Network (HCNN) are utilized to realize talker-independent isolated word recognition. DTW is a technique utilized to measure the distance between two input patterns or vectors; HMM is a tool …
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A comparison-based approach to mispronunciation detection
… the given script, dynamic time warping (DTW) is carried out between a student's utterance (nonnative speech) and a teacher's utterance (native speech), and we focus on detecting mis-alignment in the warping path and the distance matrix. The first stage of the system locates word …
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Prospects for applying speaker verification to unattended secure banking
… the text-dependent, dynamic time-warping (DTW) platform was chosen.<br/><br/>To help evaluate changes to the verifier configuration, methods of assessment based on the separation between genuine and impostor DTW (dissimilarity) score distributions are proposed. These offer alternatives to …
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Robot s autonomním audio-vizuálním řízením
… zpracování obrazu a algoritmy pro výpočet MFCC a DTW pro rozpoznávání hlasových pokynů.
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DATA-DRIVEN ANALYTICAL MODELS FOR IDENTIFICATION AND PREDICTION OF OPPORTUNITIES AND THREATS
… learning based on Dynamic Time Warping (DTW), to learn similarity between sequences and Hierarchical Clustering Analysis (HCA), is used to determine which features are relevant for a given prediction problem; and finally, an automated decision based on the input and structured learning …
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Seismic Data Conditioning and Inversion with Bayesian Methods and Dynamic Time-Warping
… can be re-adjusted with a dynamic time-warping (DTW) algorithm which is superior to linear time-shifts such as windowed-cross correlation. DTW re-alignment reveal the better correlation of elastic attributes when compared with upscaled well-logs. Seismically-derived elastic properties alone are …
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Airport surface traffic optimization and simulation in the presence of uncertainties
… flight schedule scenarios at Detroit airport (DTW). The second part of the thesis compares two types of control concepts for surface traffic management. The individual aircraft trajectory-based control uses the optimal solution of the surface traffic optimization as control inputs, whereas the …
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Unsupervised modeling of latent topics and lexical units in speech audio
… employs a segmental dynamic time warping (S-DTW) algorithm for acoustic pattern discovery in conjunction with a probabilistic model which treats the topic and pseudo-word identity of each discovered pattern as hidden variables. By applying an Expectation-Maximization (EM) algorithm, our …
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Alignement du chant par rapport à une référence audio en temps réel
… d'alignement basé sur le Dynamic Time Warping (DTW) a été développé. Une adaptation temps réel simple de l'algorithme ordinaire de la DTW qui permet d'atteindre les objectifs énumérés est proposée et comparée à d'autres approches répertoriées dans la littérature. Cette adaptation a permis …
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Applications of reference cycle building and K-shape clustering for anomaly detection in the semiconductor manufacturing process
… Warping Barycenter Averaging (DBA), and the soft-DTW-based centroid. As a result, DBA is chosen considering its comprehensive performance of accuracy and calculation time. Optimizations on DBA is further discussed to reduce calculation time. The window constraint, as well as the recalculation …
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A COMPREHENSIVE FRAMEWORK FOR STROKE TRAJECTORY RECOVERY FOR UNCONSTRAINED HANDWRITTEN DOCUMENTS
… loss for each word rather than averaging DTW loss over the entire line of text. Furthermore, to avoid the stray points/artifacts in predicted stroke points, we employ a marginal Chamfer distance that penalizes large, easily noticeable deviations and artifacts. For word detection, we …
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RESEARCH ON THE MEASUREMENT AND INFLUENCING FACTORS OF SYSTEMIC RISKS IN CHINESE FINANCIAL INSTITUTIONS IN CASE OF MAJOR PUBLIC EMERGENCIES
… industries, and institutions. First, it uses the DTW-MST network model to describe the dependence structure between financial institutions and between industries. It explores important institutional nodes of risk dependence from a network perspective. Then, it uses the time-varying Copula-CoVaR …
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