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» Embedding Heterogeneous Data Using Statistical Models
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117
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SIGGRAPH
1993
ACM
15 years 5 months ago
Turbulent wind fields for gaseous phenomena
The realistic depiction of smoke, steam, mist and water reacting to a turbulent eld such as wind is an attractive and challenging problem. Its solution requires interlocking model...
Jos Stam, Eugene Fiume
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 5 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
121
Voted
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
15 years 6 months ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
140
Voted
IMAMS
2003
212views Mathematics» more  IMAMS 2003»
15 years 2 months ago
Watermarking 3D Polygonal Meshes Using the Singular Spectrum Analysis
Watermarking is to embed a structure called a watermark into the target data such as images. The watermark can be used, for example, in order to secure the copyright and detect tam...
Kohei Muratani, Kokichi Sugihara
138
Voted
SIGIR
1999
ACM
15 years 5 months ago
Relevance Feedback Retrieval of Time Series Data
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
Eamonn J. Keogh, Michael J. Pazzani