A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
This paper introduces an approach for dense 3D reconstruction from unregistered Internet-scale photo collections with about 3 million of images within the span of a day on a single...
: Most of the recently discussed test stimulus data compression techniques are based on the low care bit densities found in typical scan test vectors. Data reduction primarily is a...
We develop a method for integrating time series expression profiles and factor-gene binding data to quantify dynamic aspects of gene regulation. We estimate latencies for transcr...
This paper addresses the query performance issue for Relational OLAP (ROLAP) datacubes. We present a distributed multi-dimensional ROLAP indexing scheme which is practical to imple...
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chapl...