As a key part of universal source coding, context quantization is very important for improving compression performance. However, in most existing methods, the quantizer is trained...
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
Kolawole O. Babalola, Timothy F. Cootes, Carole ...
We have developed a function-level power estimation methodology for predicting the power dissipation of embedded software. For a given microprocessor core, we empirically build th...
Gang Qu, Naoyuki Kawabe, Kimiyoshi Usami, Miodrag ...
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...