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.
Results
Showing 1 to 20 of 1040 for “"Unsupervised"”.
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Unsupervised sound separation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Unsupervised multilingual learning
For centuries, scholars have explored the deep links among human languages. In this thesis, we present a class of probabilistic models that exploit these links as a form of naturally occurring supervision. These models allow us to substantially improve performance for core text processing tasks, …
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Unsupervised language acquisition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Unsupervised Morphological Word Clustering
This thesis describes a system which clusters the words of a given lexicon into conflation sets (sets of morphologically related words). The word clustering is based on clustering of suffixes, which, in turn, is based on stem-suffix co-occurrence frequencies. The suffix clustering is performed as a …
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Unsupervised maritime target detection
The unsupervised detection of maritime targets in grey scale video is a difficult problem in maritime video surveillance. Most approaches assume that the camera is static and employ pixel-wise background modelling techniques for foreground detection; other methods rely on colour or thermal …
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Unsupervised segmentation of heart sounds
Digitized and recorded heart sounds contain significant diagnostic information, and are easily acquired in clinical practice. Part of a hypothetical diagnostic system is the segmentation subsystem which locates the boundaries between heartbeats. This thesis examines the design and performance of …
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Unsupervised Crypto Clustering with NLP
… are worth investing in. This thesis will apply unsupervised learning to crypto whitepapers to cluster various cryptocurrencies.
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Unsupervised skull stripping in MRI
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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Unsupervised methods for speaker diarization
… variabilities in the data through the use of unsupervised methods. Upon initial evaluation, our system achieves state-of-the art results of 0.9% Diarization Error Rate in the diarization of two-speaker telephone conversations. The approach is then generalized to the problem of K-speaker …
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Deep unsupervised learning from speech
… into exploring this problem. However, a full unsupervised speech recognition system is a hugely complicated undertaking and is still a long ways away. As in previous work, we focus on the lower-level tasks which will underlie an eventual unsupervised speech recognizer. We specifically focus on …
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Unsupervised learning of morphological forests
This thesis focuses on unsupervised modeling of morphological families, collectively comprising a forest over the language vocabulary. This formulation enables us to capture edge-wise properties reflecting single-step morphological derivations, along with global distributional properties of the …
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Localized Feature Selection For Unsupervised Learning
<p>Clustering is the unsupervised classification of data objects into different groups (clusters) such that objects in one group are similar together and dissimilar from another group. Feature selection for unsupervised learning is a technique that chooses the best feature subset for clustering. In …
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Connected operators for unsupervised image segmentation
Image segmentation forms the first stage in many image analysis procedures including image sequence re-timing and the emerging field of content based retrieval. By dividing the image into a set of disjoint connected regions, each of which is homogeneous with respect to some measure of the image …
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Unsupervised summarization of public talk radio
… introduce "hierarchical compression" for neural unsupervised summarization of spoken opinion in conversational dialogue. By relying on an unsupervised framework that obviates the need for labeled data, the summarization task becomes largely agnostic to human input beyond necessary decisions …
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Unsupervised Compositional Image Decompositionwith Diffusion Models
… This paper introduces Decomp Diffusion, an unsupervised method for decomposing images into a set of underlying compositional factors, each represented by a different diffusion model. We demonstrate how each decomposed diffusion model captures a different factor of the scene, ranging from …
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Unsupervised Workflow Discovery in Provenance Graphs
… that exist in such provenance networks, in an unsupervised manner. Along with evaluating the effectiveness of existing unsupervised community and motif detection methods, we also suggest a novel approach that augments standard motif detection. Our research shows weak precision and recall …
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An unsupervised head-dependency language model
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Unsupervised Concept Drift Detection in Data Streams
… the drift detection efficiency, we propose four unsupervised concept drift detection methods. Especially, we propose Radial Distance Drift Detection (RDDD) which aims to improve drift detection efficiency by allowing adjustable sensitivity to changes in different feature dimensions. The method …
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Unsupervised Relation Extraction for E-Learning Applications
… Extraction (RE). In this work, we present two unsupervised RE approaches (surface-based and dependency-based). The aim of both approaches is to identify the most important semantic relations in a document without assigning explicit labels to them in order to ensure broad coverage, unrestricted …
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