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» A Graph Based Data Model for Graphics Interpretation
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AAAI
2010
15 years 5 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
131
Voted
SIBGRAPI
2000
IEEE
15 years 8 months ago
Image-Based Texture Analysis for Realistic Image Synthesis
We present a method to measure reflectance and texture of surfaces in a one step process. For later use in digital image synthesis it is mandatory to separate the gathered intensi...
Heinz Mayer
128
Voted
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 9 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
129
Voted
ICPR
2008
IEEE
15 years 10 months ago
Monocular video foreground segmentation system
This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive perpixel background model is develope...
Xiaoyu Wu, Yangsheng Wang, Xiaolong Zheng
147
Voted
BMCBI
2007
200views more  BMCBI 2007»
15 years 3 months ago
BNDB - The Biochemical Network Database
Background: Technological advances in high-throughput techniques and efficient data acquisition methods have resulted in a massive amount of life science data. The data is stored ...
Jan Küntzer, Christina Backes, Torsten Blum, ...