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Showing 1 to 11 of 11 for “"Similarity Matching"”.
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Image annotation with discriminative model and annotation refinement by visual similarity matching
… images with the query photo and use visual similarity to rank the relevance of suggested annotations for the query photo.
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Enhancing Productivity with Back-End Similarity Matching of Digital Circuits for IP Reuse
Productivity for digital circuit design is being outpaced currently by the rate at which<br />silicon is growing such as FPGAs. Complex designs take a large amount of engineering<br />hours to complete. Reuse of existing design can potentially decrease this cost and increase<br />design …
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Video Indexing and Retrieval Techniques Using Novel Approaches to Video Segmentation, Characterization, and Similarity Matching
… stage, a novel model for performing video data matching task that integrates a number of human-based similarity factors. All our software implementations are in Java, which enables it to be used across heterogeneous platforms. The retrieval system performance has been evaluated yielding a very …
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Comparative Mining of Multiple Web Data Source Contents with Object Oriented Model
… different web pages based on objects' patterns similarity matching, and stores the extracted objects in historical object-oriented data warehouse. Approaches to be used include similarity matching of DOM tree tag nodes for identifying data blocks and data regions, automatic Non-Deterministic and …
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An Exploration of Circuit Similarity for Discovering and Predicting Reusable Hardware
… To achieve this goal, methods for assessing the similarity of two designs are necessary. Different techniques for comparing the similarity of circuits are explored utilizing concepts from different domains. A new similarity measure was developed using birthmarks that allows for fast and efficient …
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Data Intensive Method For Processing Defect Detection and Mitigation For Composites
… denoted (L1) for dimensional reduction and a similarity matching layer (L2) for equal weight and non-biased cosine similarity matching. Subsequently, a new three-step anomaly detection algorithm was developed using an autoencoder, unsupervised machine learning, and an elliptical envelope …
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Modeling Damage Evolution and Damage Healing using Data Driven Method
… a dimensionality reduction layer and a similarity-matching layer. The model identified multiple defects without individual training on any defective images. While grayscale images and strain data were successfully used independently for defect detection, the proposed approach achieved …
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Buckets: Smart Objects for Digital Libraries
… access to centralized bucket services, such as similarity matching, messaging and metadata conversion. We also discuss experiences learned from using buckets in the NCSTRL+ and Universal Pre-print Server (UPS) experimental digital libraries. We conclude with comparisons to related work and …
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Perceived features and similarity of images: An investigation into their relationships and a test of Tversky's contrast model.
… access to them. One of these challenges is similarity matching. Most current content-based image retrieval (CBIR) systems which can extract only low-level visual features such as color, shape, and texture, use similarity measures based on geometric models of similarity. However, most human …
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Automatic Annotation Of Database Images For Query-by-concept
… difference between QBE and QBC is that, while similarity matching in QBE must be done at the query time, QBC performs concept exploration off-line. This difference allows QBC techniques to shift the time-consuming task of determining similarity away from the query time, thus facilitating the …