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» A Graph Based Data Model for Graphics Interpretation
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131
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ESANN
2004
15 years 5 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
129
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SIGGRAPH
1995
ACM
15 years 7 months ago
Realistic modeling for facial animation
A major unsolved problem in computer graphics is the construction and animation of realistic human facial models. Traditionally, facial models have been built painstakingly by man...
Yuencheng Lee, Demetri Terzopoulos, Keith Waters
122
Voted
INFOVIS
2002
IEEE
15 years 8 months ago
Visualizing Data with Bounded Uncertainty
Visualization is a powerful way to facilitate data analysis, but it is crucial that visualization systems explicitly convey the presence, nature, and degree of uncertainty to user...
Chris Olston, Jock D. Mackinlay
BMCBI
2008
114views more  BMCBI 2008»
15 years 3 months ago
A visual analytics approach for understanding biclustering results from microarray data
Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
Rodrigo Santamaría, Roberto Therón, ...
132
Voted
IWOMP
2007
Springer
15 years 9 months ago
Parallel Data Flow Analysis for OpenMP Programs
The paper presents a compiler framework for analyzing and optimizing OpenMP programs. The framework includes Parallel Control Flow Graph and Parallel Data Flow equations based on t...
Lei Huang, Girija Sethuraman, Barbara M. Chapman