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» Identifying Objects Using Cluster and Concept Analysis
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VIS
2008
IEEE
204views Visualization» more  VIS 2008»
16 years 17 days ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
DASFAA
2007
IEEE
297views Database» more  DASFAA 2007»
15 years 5 months ago
OLYBIA: Ontology-Based Automatic Image Annotation System Using Semantic Inference Rules
One of the big issues facing current content-based image retrieval is how to automatically extract the high-level concepts from images. In this paper, we present an efficient syste...
Kyung-Wook Park, Jin-Woo Jeong, Dong-Ho Lee
APVIS
2003
15 years 20 days ago
Experimental Evaluation of a Program Visualisation Tool for Use in Computer Science Education
This paper presents an experimental evaluation of a program visualisation tool. Computer science students in an introductory object oriented programming course in Java were asked ...
Kathryn Kasmarik, Joe Thurbon
WSCG
2003
145views more  WSCG 2003»
15 years 19 days ago
Analysis of Four-Dimensional Cardiac Data Sets Using Skeleton-Based Segmentation
Computer-aided analysis of four-dimensional tomography data has become an important tool in modern cardiology. In order to examine the capability and health of a patient’s cardi...
André Neubauer, Rainer Wegenkittl
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 11 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang