Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....
While predictions abound that electronic books will supplant traditional paper-based books, many people bemoan the coming loss of the book as cultural artifact. In this project we...
Maribeth Back, Jonathan Cohen, Rich Gold, Steve R....
We consider the use of wavelet transformations as a dimensionality reduction technique to permit efficient similarity search over high-dimensional time-series data. While numerou...
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
We explore techniques from visualization and computational geometry to make tactical information more intuitive to a military commander. To be successful, the commander must quick...
C. M. Hoffman, Y.-J. Kim, R. P. Winkler, J. D. Wal...