In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Cache memories have been extensively used to bridge the gap between high speed processors and relatively slower main memories. However, they are sources of predictability problems...
We present a novel geometric model for robot mapping based on shape. Shape similarity measure and matching techniques originating from computer vision are specially redesigned for ...
Cache memories have been extensively used to bridge the gap between high speed processors and relatively slower main memories. However, they are sources of predictability problems...
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...