Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance fu...
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
The automatic extraction of sports video highlights is a typical kind of personalized media production process. Many ways have been studied from the viewpoints of lowlevel audio/v...
: Formula One racing is one of the most fascinating sports ever, it is a perfect combination of high speed, technology, pressure and danger. One problem associated with car racing ...