Search Results - (( java application interface algorithm ) OR ( semantics representation _ algorithm ))
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…The running system shows an OOP semantic knowledge representation by intelligent agents.…”
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USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING
Published 2010“…Based on the new representation, the documents are then subjected to the clustering algorithm itself, which is Fuzzy c-Means algorithm. …”
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DATA REPRESENTATION AND REASONING BASED ON SEMANTIC WEB INTEGRATION
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Algorithms for extracting adjacency matrix based on Formal Concept Analysis (FCA)
Published 2017“…The desire to achieve a holistic representation of Information Retrieval (IR) with the aim for a human-oriented form of representation has spurred the growth of concept-based IR search techniques such as the Semantic Web technology. …”
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A deep autoencoder-based representation for Arabic text categorization
Published 2020“…Until recently, the Bag-of-Words remains the most common method for Arabic text representation. However, it suffers from several shortcomings such as semantics deficiency and high dimensionality of feature space. …”
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Representing semantics of text by acquiring its canonical form
Published 2017“…The issue in text representation is to generate a formal approach of capturing meaning or semantics in sentences. …”
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Visual-based semantic simultaneous localization and mapping for Robotic applications: a review
Published 2019“…Unlike the metric representation, semantic mapping is still immature, and it comes up short on durable formulation. …”
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Dissimilarity algorithm on conceptual graphs to mine text outliers
Published 2009“…In Comparison to other text outlier detection method, this approach managed to capture the semantics of documents through the use of CGs and is convenient to detect outliers through a simple dissimilarity function.Furthermore, our proposed algorithm retains a linear complexity with the increasing number of CGs.…”
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TB-FusionNet: a multi-scale feature fusion algorithm with spatial and channel cross-attention for tuberculosis detection
Published 2026“…The algorithm first calculates the similarity between local features at different levels to precisely select low-level detail features that are closely related to high-level semantic features, thereby generating a more hierarchical feature representation. …”
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Normalized Relational Storage for Extensible Markup Language (XML) Schema
Published 2011“…Results: We show that our algorithm is efficient in terms of reducing data redundancy and preserving semantic expression. …”
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Deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function
Published 2012“…We resolve two non-trivial problems, i.e. semantic representation of text and the complexity of graph matching. …”
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An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…Text data are characterized by having problems related to ambiguity, high dimensionality, sparsity and text representation. If these challenges are not properly resolved, identifying semantic-based text anomaly will be less accurate. …”
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Real-time algorithmic music composition application.
Published 2022“…In addition, the system also utilises JavaFx and jFugue for its graphical user interface and music programming respectively. …”
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Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
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Application-Programming Interface (API) for Song Recognition Systems
Published 2024“…In addition the implementation is done by algorithm using Java’s programming language, executed through an application developed in the Android operating system. …”
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An object properties filter for multi-modality ontology semantic image retrieval
Published 2017“…Ontology is a semantic technology that provides the possible approach to bridge the issue on semantic gap in image retrieval between low-level visual features and high-level human semantic.The semantic gap occurs when there is a discrepancy between the information that is extracted from visual data and the text description.In other words, there is a difference between the computational representation in machine and human natural language.In this paper, an ontology has been utilized to reduce the semantic gap by developing a multi-modality ontology image retrieval with the enhancement of a retrieval mechanism by using the object properties filter. …”
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Semantic triple ranking based on levenshtien reverse engineering approach
Published 2015“…In this study, semantic triple ranking mechanism is proposed. The approach is based on using levenshtien string matching algorithm a reverse engineering approach. …”
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Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong
Published 2016“…This high-level semantic representation serves to help bridge the dichotomy between the perceived software design from the maintainers’ view and the actual code structure. …”
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