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Showing 1 to 9 of 9 for “"information selection"”.

  1. Information selection in intelligence processing

    … agencies, the processing of data into usable information ready for analysis poses a significant bottleneck. Typically, much more data is available than what can be processed in the limited time available for processing. We formulate the problem faced by an intelligence collection unit, when …

    nps Repository record for Information selection in intelligence processing (opens in a new tab)

  2. Information selection and fusion in vision systems

    … they do not address the basic problem of information overflow. In this PhD we tackle the problem in a more drastic way. We select information of interest to a specific vision task, and discard the rest. We also combine data from different sources into a single output product, which …

    ghent Repository record for Information selection and fusion in vision systems (opens in a new tab)

  3. Information selection and belief updating in hypothesis evaluation

    … is concerned with the factors underlying both selection and use of evidence in the testing of hypotheses. The work it describes examines the role played in hypothesis evaluation by background knowledge about the probability of events in the environment as well as the influence of more general …

    plymouth Repository record for Information selection and belief updating in hypothesis evaluation (opens in a new tab)

  4. REPRESENTATION LEARNING FOR VISUAL TASKS: A STUDY OF ATTENTION AND INFORMATION SELECTION

    … learning by optimizing attention mechanisms and information selection strategies within deep learning models. Standard approaches often process images independently and compress them into single global descriptors, limiting performance on tasks requiring contextual understanding or fine-grained …

    temple Repository record for REPRESENTATION LEARNING FOR VISUAL TASKS: A STUDY OF ATTENTION AND INFORMATION SELECTION (opens in a new tab)

  5. Attention mechanism in deep neural networks for computer vision tasks

    … features for better understanding the semantic information of the image. However, the attention mechanism is not only capable of helping DNNs understand semantics, but also useful for the feature fusion, visual cue discovering, and temporal information selection, which are seldom researched. In …

    must-thes Repository record for Attention mechanism in deep neural networks for computer vision tasks (opens in a new tab)

  6. Familiarity as a variable in anticipated communication

    … reflected in the number of additional items of information, questions asked, and elements of a written impression generated by a subject. Conversely, it was expected that a person anticipating interaction with another whose was from an unfamiliar ethnic background would select fewer additional …

    ku Repository record for Familiarity as a variable in anticipated communication (opens in a new tab)

  7. Rate and predictors of decline in dementia of the Alzheimer type as measured by the hierarchic dementia scale (HDS)

    … to assess severity of impairment. Descriptive information were obtained at entry into the study. Using a repeated measures univariate and multivariate design format, the results show significant age and time effects for the total HDS score and for the seven cognitive domains. A model of decline …

    concordia Repository record for Rate and predictors of decline in dementia of the Alzheimer type as measured by the hierarchic dementia scale (HDS) (opens in a new tab)

  8. Human-centric trustworthy foundation model reasoning

    … difficulties for us to understand and convey information effectively. Advancements in AI have given rise to language models (LMs) being increasingly adopted in assisting information understanding and communication for different task settings. However, the potential that LMs can serve in …

    uiuc Repository record for Human-centric trustworthy foundation model reasoning (opens in a new tab)