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» Visualizing dynamic data with maps
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88
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NECO
2002
104views more  NECO 2002»
15 years 6 days ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
153
Voted
GIS
2002
ACM
15 years 9 days ago
Interactive 3D visualization of vector data in GIS
Vector data represents one major category of data managed by GIS. This paper presents a new technique for vector-data display that is able to precisely and efficiently map vector ...
Oliver Kersting, Jürgen Döllner
155
Voted
DATAMINE
2010
120views more  DATAMINE 2010»
15 years 19 days ago
A weighted voting summarization of SOM ensembles
Abstract Weighted Voting Superposition (WeVoS) is a novel summarization algorithm for the results of an ensemble of Self-Organizing Maps. Its principal aim is to achieve the lowest...
Bruno Baruque, Emilio Corchado
121
Voted
CCGRID
2010
IEEE
15 years 1 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
145
Voted
ICIP
2002
IEEE
16 years 2 months ago
Visualization of high dynamic range images
A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many or...
Alvaro Pardo, Guillermo Sapiro