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Showing 1 to 20 of 1412 for “"Unstructured"”.

  1. Unstructured light fields

    … new rendering algorithm that is tailored to the unstructured yet dense data we capture. Our method can achieve piecewise-bicubic reconstruction using a triangulation of the captured viewpoints and subdivision rules applied to reconstruction weights.

    mit Repository record for Unstructured light fields (opens in a new tab)

  2. Characterization of unstructured video

    … target our algorithms for one particular domain- unstructured video material. The goal is to make this unstructured video available for manipulation in interesting ways. I.e, take video that may have been shot with no specific intent and use it in different settings. For example, we build a set of …

    mit Repository record for Characterization of unstructured video (opens in a new tab)

  3. Image Classification With Unstructured Collections

    … flexible approaches. Beyond the image level, unstructured collections can also be applied at the part level, particularly in fine-grained classification tasks. By representing classes as unstructured sets of parts, independent of their source images, classification can be driven by localized …

    temple Repository record for Image Classification With Unstructured Collections (opens in a new tab)

  4. Audio Surveillance in Unstructured Environments

    auckland-tech

  5. Lightweight Mapping of Unstructured Environments

    … that produces high-quality reconstructions in an unstructured agricultural environment consisting of orchards and vineyards. The pipeline has to be deployed and tested on ground vehicles equipped only with a single monocular camera sensor. Running on a CPU only, while achieving a sufficient …

    cape-town Repository record for Lightweight Mapping of Unstructured Environments (opens in a new tab)

  6. Learning structure from unstructured data

    This thesis develops statistical tools and algorithmic techniques for non-asymptotic system identification of dynamical systems from noisy input-output data. Specifically, we address the question: "For a fixed length of noisy data generated by an unknown model, what is the best approximation that …

    mit Repository record for Learning structure from unstructured data (opens in a new tab)

  7. Online Content Design with Unstructured Data

    Studying the design and management of digital content is imperative for individuals and organizations that aim to thrive in the digital age. This dissertation investigates the design of digital content in three aspects: (1) consumer reviews for e-commerce, (2) online news headlines, and (3) …

    uwo Repository record for Online Content Design with Unstructured Data (opens in a new tab)

  8. Structured entity querying over unstructured text

    The web is a collection of unstructured webpages. This characteristic makes it very hard for users to search complex queries -- in most of the times, queries are just plain text and it is very difficult for users to describe the internal relationships that they contain. The EntityRank system allows …

    uiuc Repository record for Structured entity querying over unstructured text (opens in a new tab)

  9. Influence mining from unstructured big data

    … to mine community-influence from user generated unstructured data. To study such influence, I introduce the problem of mining community-influence from user-generated unstructured contents, particularly in the context of text content generation. Although text generation has recently become a …

    uiuc Repository record for Influence mining from unstructured big data (opens in a new tab)

  10. Rendering from unstructured collections of images

    … a new image-based rendering algorithm called unstructured lumigraph rendering (ULR). ULR is an image-based rendering algorithm that is specifically designed to work with unstructured (i.e., irregularly arranged) collections of images. The algorithm is unique in that it is capable of using any …

    mit Repository record for Rendering from unstructured collections of images (opens in a new tab)

  11. Statistical Learning for Sequential Unstructured Data

    Unstructured data, which cannot be organized into predefined structures, such as texts, human behavior status, and system logs, often presented in a sequential format with inherent dependencies. Probabilistic model are commonly used to capture these dependencies in the data generation process …

    vt Repository record for Statistical Learning for Sequential Unstructured Data (opens in a new tab)

  12. Efficient Indexing for Structured and Unstructured Data

    … can be structured i.e., relational tables or unstructured i.e., free text. Moreover, increasingly many applications need to seamlessly analyze both kinds of data making data integration a central issue. Integrating text with structured data needs to account for missing values, errors in the …

    lsu-thes Repository record for Efficient Indexing for Structured and Unstructured Data (opens in a new tab)

  13. Traversability prediction and navigation for unstructured environments

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01

    uiuc Repository record for Traversability prediction and navigation for unstructured environments (opens in a new tab)

  14. Accelerating queries for structured and unstructured data

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01

    uiuc Repository record for Accelerating queries for structured and unstructured data (opens in a new tab)

  15. Visually-guided obstacle avoidence in unstructured environments

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.

    mit Repository record for Visually-guided obstacle avoidence in unstructured environments (opens in a new tab)

  16. Learning a semantic database from unstructured text

    In this paper, we aim to learn a semantic database given a text corpus. Specifically, we focus on predicting whether or not a pair of entities are related by the hypernym relation, also known as the 'is-a' or 'type-of' relation. We learn a neural network model for this task. The model is given as …

    mit Repository record for Learning a semantic database from unstructured text (opens in a new tab)

  17. Unstructured technology for high speed flow simulations

    … one equation turbulence model on structured and unstructured mesh topologies are presented. In the thermo-chemical modeling, particular attention is paid to the modeling of the chemical source terms, modeling of equilibrium thermodynamics, and the modeling of the non-equilibrium vibrational …

    vt Repository record for Unstructured technology for high speed flow simulations (opens in a new tab)

  18. Unstructured Finite Element Computations on Configurable Computers

    Scientific solutions to physical problems are computationally intensive. With the increasing emphasis in the area of Custom Computing Machines, many physical problems are being solved using configurable computers. The Finite Element Method (FEM) is an efficient way of solving physical problems such …

    vt Repository record for Unstructured Finite Element Computations on Configurable Computers (opens in a new tab)

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