A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ink Markup Language (InkML) provides a platform– neutral data format that can be used to represent, store and transmit digital ink data. Both streaming and archival applications...
The data model for image representation in terms of projective Fourier transform (PFT) is well adapted to both image perspective transformations and the retinotopic mappings of th...