Search Results - "Phuong, LAI Hien"
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Towards an interactive index structuring system for content-based image retrieval in large image databases
Published in Electronic letters on computer vision and image analysis (2014)“…In recent years, the expansion of acquisition devices such as digital cameras, the development of storage and transmission techniques and the success of tablet…”
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Journal Article -
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A new interactive semi-supervised clustering model for large image database indexing
Published in Pattern recognition letters (01-02-2014)“…•Propose a new interactive semi-supervised clustering model.•Present an experimental comparison between our model and the semi-supervised HMRF-kmeans.•Present…”
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Journal Article -
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A lightweight keypoint matching framework for insect wing morphometric landmark detection
Published in Ecological informatics (01-09-2022)“…Geometric morphometrics has become an important approach in insect morphology studies because it capitalizes on advanced quantitative methods to analyze shape…”
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Journal Article -
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An experimental comparison of clustering methods for content-based indexing of large image databases
Published in Pattern analysis and applications : PAA (01-11-2012)“…In recent years, the expansion of acquisition devices such as digital cameras, the development of storage and transmission techniques of multimedia documents…”
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Journal Article -
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Unsupervised and Semi-Supervised Clustering for Large Image Database Indexing and Retrieval
Published in 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (01-02-2012)“…The feature space structuring methods play a very important role in finding information in large image databases. They organize indexed images in order to…”
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Conference Proceeding
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Towards an approach using metric learning for interactive semi-supervised clustering of images
Published in 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE) (01-10-2016)“…The problem of unsupervised and semi-supervised clustering is extensively studied in machine learning. In order to involve user in image data clustering, we…”
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Conference Proceeding