Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
Raster map images (e.g., USGS) provide much information in digital form; however, the color assignments and pixel labels leave many serious ambiguities. A color histogram classiļ¬...
Abstract. A constrained variational deconvolution approach for multichannel images is presented. Constraints are enforced through a reparametrisation which allows a diļ¬erential g...
The structure of hypersurfaces corresponding to diļ¬erent spatio-temporal patterns is considered, and in particular representations based on geometrical invariants, such as the Ri...
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...