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» Large Model Visualization: Techniques and Applications
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PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
AVI
2004
13 years 10 months ago
Interactive data summarization: an example application
Summarizing large multidimensional datasets is a challenging task, often requiring extensive investigation by a user to identify overall trends and important exceptions to them. W...
Neal Lesh, Michael Mitzenmacher
TKDE
2008
378views more  TKDE 2008»
13 years 8 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
ICDM
2010
IEEE
119views Data Mining» more  ICDM 2010»
13 years 6 months ago
Visually Controllable Data Mining Methods
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
Kai Puolamäki, Panagiotis Papapetrou, Jefrey ...
VIS
2008
IEEE
123views Visualization» more  VIS 2008»
14 years 9 months ago
Focus+Context Visualization with Distortion Minimization
The need to examine and manipulate large surface models is commonly found in many science, engineering, and medical applications. On a desktop monitor, however, seeing the whole mo...
Yu-Shuen Wang, Tong-Yee Lee, Chiew-Lan Tai