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134
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GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
15 years 8 months ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
169
Voted
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 16 days ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
158
Voted
CCGRID
2008
IEEE
15 years 4 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
156
Voted
ICDE
2012
IEEE
240views Database» more  ICDE 2012»
13 years 5 months ago
Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme
—Shortest distance query between two nodes is a fundamental operation in large-scale networks. Most existing methods in the literature take a landmark embedding approach, which s...
Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu
ICCV
2007
IEEE
16 years 4 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...