We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
We present the Adaptive Hybrid Cursor, a novel target acquisition technique for pen-based interfaces. To assist a user in a target selection task, this technique automatically adap...
Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy...
The proposed implementation is a monitor system able to train operators for on-line real time manufacturing control in order to analyze the performance of a production process. Th...
Agostino G. Bruzzone, Pietro Giribone, Roberto Rev...
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...