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CANDC
2011
ACM
12 years 4 months ago
Understanding exploratory creativity in a visual domain
This paper describes a computerized aesthetic composition task that is based on a “creativity as search” metaphor. The technique collects detailed, moment-to-moment data about...
Kyle E. Jennings, Dean Keith Simonton, Stephen E. ...
ICPR
2008
IEEE
13 years 11 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma
CVBIA
2005
Springer
13 years 10 months ago
Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)
Abstract. This paper presents a novel measure of image similarity, called quantitative-qualitative measure of mutual information (Q-MI), for multi-modal image registration. Convent...
Hongxia Luan, Feihu Qi, Dinggang Shen
VIS
2007
IEEE
128views Visualization» more  VIS 2007»
14 years 6 months ago
Modeling Perceptual Dominance Among Visual Cues in Multilayered Icon-based Scientific Visualizations
ization method is an abstract function that transforms a scientific dataset into a visual representation to facilitate data exploration. In turn, a visualization display is the vis...
Daniel Acevedo, Jian Chen, David H. Laidlaw
WWW
2010
ACM
13 years 10 months ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh