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Showing 1 to 4 of 4 for “"example-based learning"”.

  1. Automatic identification of musical schemata

    … by the Galant musical schemata theory (GMST), an examplebased learning and compositional practice that peaked in popularity around the early 18th century in Europe, suggesting a culturally–defined classification of polyphonic patterns. Under the premises of the GMST and by relating notions from …

    de-montfort Repository record for Automatic identification of musical schemata (opens in a new tab)

  2. Learning image super resolution from joint examples

    Image super-resolution (SR) aims to estimate of a high-resolution (HR) image from low-resolution (LR) input. Image priors are commonly learned to regularize the ill-posed SR problem, either using external LR-HR pairs or internal similar patterns repeating across di erent scales. We propose joint SR …

    uiuc Repository record for Learning image super resolution from joint examples (opens in a new tab)

  3. Learning task-specific similarity

    The right measure of similarity between examples is important in many areas of computer science. In particular it is a critical component in example-based learning methods. Similarity is commonly defined in terms of a conventional distance function, but such a definition does not necessarily …

    mit Repository record for Learning task-specific similarity (opens in a new tab)

  4. Exploiting quaternions to support expressive interactive character motion

    … maintain the illusion of life. Canned animation examples from an animator or motion capture device are expressive, but not very interactive, often leading to repetition. Conversely, numerical procedural techniques such as Inverse Kinematics (IK) tend to be very interactive, but often appear …

    mit Repository record for Exploiting quaternions to support expressive interactive character motion (opens in a new tab)