We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...
The main computational cost in Fractal Image Analysis (FIC) comes from the required range-domain full block comparisons. In this work we propose a new algorithm for this comparison...
We are given a set of jobs each has a processing time, a non-negative weight, a set of possible time intervals in which it can be processed and a cost. The goal is to schedule a f...
This paper presents an efficient extraction method of closed loops as primitive symbols of line drawings, and an robust line drawing understanding system incorporating this extrac...
We propose to use MapReduce to quickly test new retrieval approaches on a cluster of machines by sequentially scanning all documents. We present a small case study in which we use ...