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Showing 1 to 3 of 3 for “"Tangent Distance"”.
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Invariant image object recognition using Gaussian mixture densities
… are incorporated by using the so-called tangent distance. In this work, tangent distance is embedded into a statistical framework, which for instance leads to a modified, more reliable estimation of the mixture density parameters. Furthermore, tangent distance is extended to compensate …
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Transformation knowledge in pattern analysis with kernel methods - distance and integration kernels
… and investigated: <br> <br> (1) Invariant distance substitution kernels (IDS-kernels): In many practical questions the transformations are implicitly captured by sophisticated distance measures between objects. Examples are nonlinear deformation models between images. Here an explicit …
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Modeling of image variability for recognition
This thesis presents the application of different models of image variability to visual recognition problems using the paradigm of appearance-based recognition.We first discuss linear models of variability and relate them to the use of Gaussian distributions. This allows us to use well-understood …