INTENV
2010
13 years 6 months ago
2010
IEEEVAST
2010
13 years 6 months ago
2010
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
IEEEVAST
2010
13 years 6 months ago
2010
Data sets that contain geospatial and temporal elements can be challenging to analyze. In particular, it can be difficult to determine how the data have changed over spatial and t...
IEEEVAST
2010
13 years 6 months ago
2010
DimStiller is a system for dimensionality reduction and analysis. It frames the task of understanding and transforming input dimensions as a series of analysis steps where users t...
IEEEVAST
2010
13 years 6 months ago
2010
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
IEEEVAST
2010
13 years 6 months ago
2010
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
IEEEVAST
2010
13 years 6 months ago
2010
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and...
IEEEVAST
2010
13 years 6 months ago
2010
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
IEEEVAST
2010
13 years 6 months ago
2010
Modern visualization methods are needed to cope with very highdimensional data. Efficient visual analytical techniques are required to extract the information content in these dat...
IEEEVAST
2010
13 years 6 months ago
2010
Information foraging and sensemaking with heterogeneous information are context-dependent activities. Thus visual analytics tools to support these activities must incorporate cont...