While iterative optimization has become a popular compiler optimization approach, it is based on a premise which has never been truly evaluated: that it is possible to learn the b...
Yang Chen, Yuanjie Huang, Lieven Eeckhout, Grigori...
In this paper, we describe a database query system that provides visual relevance feedback in querying large databases. The goal of our system is to support the query specificati...
The cpquantile of an ordered sequenceof data values is the element with rank ‘pn, where n is the total number of values. Accurate estimates of quantiles are required for the sol...
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
In the area of scientific visualization, input data sets are often very large. In visualization of Computational Fluid Dynamics (CFD) in particular, input data sets today can surp...
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
Knowledge communities of all kinds have social and material practices for deciding what is known and who is to be trusted. In this paper, we address a specific kind of knowledge w...
Nancy A. Van House, Mark H. Butler, Lisa R. Schiff
This paper describes the architecture of a data level comparative visualization system and experiences using it to study computational fluid dynamics data and experimental wind tu...
When scientific data sets can be interpreted visually they are typically managed as pictures and consequently stored as large collections of bitmaps. Valuable information containe...