In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
Abstract. Many SQL queries with aggregated subqueries exhibit redundancy (overlap in FROM and WHERE clauses). We propose a method, called the for-loop, to optimize such queries by ...
In this paper we introduce a template-based method for recognizing human actions called Action MACH. Our approach is based on a Maximum Average Correlation Height (MACH) filter. A...
Traditionally, ad hoc networks have been viewed as a connected graph over which end-to-end routing paths had to be established. Mobility was considered a necessary evil that inval...
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...