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Showing 1 to 11 of 11 for “"neural gas"”.

  1. Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė /

    … vector quantization methods, based on artificial neural networks, and visualization methods, based on a dimensionality reduction, have been investigated. The consecutive and integrated combinations of neural gas and multidimensional scaling have been proposed here as an alternative to combinations …

    vilnius Repository record for Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė / (opens in a new tab)

  2. Reliability implications of price responsive demand : a study of New England's power system

    … to account for price responsive demand. A Neural Gas clustering algorithm is used to deal with the time-varying nature of price responsive demand. We show that neglecting to account for price responsive demand could result in underestimating system reliability by traditional measures, and …

    mit Repository record for Reliability implications of price responsive demand : a study of New England's power system (opens in a new tab)

  3. Map-Building and Position Estimation in Mobile Robots Using Self-Organizing Maps

    … models such as the self organizing map (SOM), neural gas (NG) and growing neural gas algorithm (GNG). This is encouraging enough to prompt further research that could result in an autonomous agent capable of self-localizing with a satisfactory degree and reliability in unknown and dynamically …

    southwales Repository record for Map-Building and Position Estimation in Mobile Robots Using Self-Organizing Maps (opens in a new tab)

  4. Modelling and tracking objects with a topology preserving self-organising neural network

    … To do that we add an active step to the Growing Neural Gas (GNG) network, which we call Active Growing Neural Gas (A-GNG) that takes into consideration not only the geometrical position of the nodes, but also the underlined local feature structure of the image, and the distance vector between …

    westminster Repository record for Modelling and tracking objects with a topology preserving self-organising neural network (opens in a new tab)

  5. Detecting domestic objects with ensembles of view-tuned support vector machine cascades trained on Web images

    … space are learned with a hierarchical Growing Neural Gas, the lbTreeGNG. View-tuned kernels are used efficiently with Support Vector Machines in a sliding window approach to train view-tuned experts for the different sub-sets. Finally, the outputs of various experts are fused to determine a …

    bielefeld Repository record for Detecting domestic objects with ensembles of view-tuned support vector machine cascades trained on Web images (opens in a new tab)

  6. Online clustering with single-pass topology based fuzzy clustering algorithm

    … clusters. TFC uses the method of Growing Neural Gas (GNG) method of creating linked sub-clusters and extends GNG by assigning a fuzzy membership to the sub-clusters, noting the link structure for creating clusters and influencing the learning nodes at each sub-clusters. This also gives a …

    njit Repository record for Online clustering with single-pass topology based fuzzy clustering algorithm (opens in a new tab)

  7. Data Driven Selective Sensing for 3D Image Acquisition

    … by a random sampling process, as well as a neural gas selective sensing algorithm.

    ottawa-retro Repository record for Data Driven Selective Sensing for 3D Image Acquisition (opens in a new tab)

  8. Visual region understanding: unsupervised extraction and abstraction

    … and novel simplication of contour-based growing neural gases, and (c) a foundation for the analysis of visual object motion properties using a shape and appearance based nearest-centroid classification algorithm and trajectory plots for the obtained region classes. Specifically, we formulate a …

    westminster Repository record for Visual region understanding: unsupervised extraction and abstraction (opens in a new tab)

  9. DEVELOPMENT OF ALGORITHMS FOR CLASSICAL AND SEMICLASSICAL DYNAMICS

    … prohibitively expensive, we show how to use a neural gas algorithm to tessellate the phase space traversed by trajectories and approximate the local curvature of the potential. We further investigate the correlation among atoms with an experimentalist mindset: We want to artificially “decouple” …

    milano Repository record for DEVELOPMENT OF ALGORITHMS FOR CLASSICAL AND SEMICLASSICAL DYNAMICS (opens in a new tab)