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 9 of 9 for “"unsupervised segmentation"”.
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Unsupervised segmentation of heart sounds
… Part of a hypothetical diagnostic system is the segmentation subsystem which locates the boundaries between heartbeats. This thesis examines the design and performance of two approaches to segmentation: peak energy detection and sliding window autocorrelation. Emphasis is placed on synchronous …
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Context-dependent type-level models for unsupervised morpho-syntactic induction
This thesis improves unsupervised methods for part-of-speech (POS) induction and morphological word segmentation by modeling linguistic phenomena previously not used. For both tasks, we realize these linguistic intuitions with Bayesian generative models that first create a latent lexicon before …
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Query Segmentation For E-Commerce Sites
Query segmentation module is an integral part of Natural Language Processing which analyzes users' query and divides them into separate phrases. Published works on the query segmentation focus on the web search using Google n-gram frequencies corpus or text retrieval from relational databases. …
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Real-time large object category recognition using robust RGB-D segmentation features
… category recognition by treating it as a segmentation problem and using the resulting segments to learn and detect large objects based on their 3D characteristics. The first part of this thesis examines how to efficiently do unsupervised segmentation of an RGB-D image in a way that is …
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LEARNING STRUCTURED ALIGNMENT: FROM VISUAL UNDERSTANDING TO ROBOT CONTROL
… label selection. We then address video instance segmentation through two complementary approaches: UVIS, which leverages foundation models (DINO and CLIP) for unsupervised segmentation without dense annotations, and PointVIS, which achieves competitive performance using only point-level …
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Retinal vessel segmentation using textons
Segmenting vessels from retinal images, like segmentation in many other medical image domains, is a challenging task, as there is no unified way that can be adopted to extract the vessels accurately. However, it is the most critical stage in automatic assessment of various forms of diseases (e.g. …
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Text mining at multiple granularity: leveraging subwords, words, phrases, and sentences
… levels of semantic granularity: (1) subword segmentation with an application to enriching word embeddings to address word sparsity (2) phrase mining with an application to phrase-based topic modeling and (3) leveraging sentence-level granularity for finding parallel cross-lingual data. The …
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Comparación de algoritmos de segmentación heurística de imágenes de angiografía coronaria utilizando técnicas no supervisadas
El presente trabajo aborda el problema de la segmentación no supervisada de vasos coronarios en imágenes de angiografía, un desafío debido al ruido, los artefactos y la complejidad de las estructuras vasculares. Se comparan dos enfoques de segmentación, W-Net y Segment Anything Model (SAM), y se …