We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Power-awareness indicates the scalability of the system energy with changing conditions and quality requirements. Multipliers are essential elements used in DSP applications and c...
The development of Field Programmable Gate Arrays (FPGAs) had tremendous improvements in the last few years. They were extended from simple logic circuits to complex Systems-on-Ch...
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...