Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
We present a new representation for time-varying image data that allows for varying--and arbitrarily high--spatial and temporal resolutions in different parts of a video sequence....
Adam Finkelstein, Charles E. Jacobs, David Salesin
Efficient processing of aggregation queries is essential for decision support applications. This paper describes a class of query transformations, called eager aggregation and lat...
Aggressive energy conserving mechanisms can maximize energy efficiency, but often have the negative tradeoff of simultaneously reducing system responsiveness due to the switching ...
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...