The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...
Often the most expensive and time-consuming task in building a pattern recognition system is col lecting and accurately labeling training and testing data. In this paper, we exp...
We study, from the competitive analysis perspective, the trade off between communication cost and delay cost (or simply the sendor-wait dilemma) on a hierarchy (rooted tree). The p...
We introduce the Bloomier filter, a data structure for compactly encoding a function with static support in order to support approximate evaluation queries. Our construction gener...
Bernard Chazelle, Joe Kilian, Ronitt Rubinfeld, Ay...
This paper presents a new approach to pricing Americanstyle derivatives. By approximating the value function with a piecewise linear interpolation function, the option holder'...
Scott B. Laprise, Michael C. Fu, Steven I. Marcus,...