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113
Voted
CVPR
2007
IEEE
16 years 4 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
95
Voted
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
16 years 3 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
125
Voted
CANDC
2009
ACM
15 years 9 months ago
Visualization and empowerment
Data visualization, commonly used to make large sets of numerical data more legible, also has enormous potential as a storytelling tool to elicit insights on long-standing social ...
Indhira Rojas, Wendy Ju
117
Voted
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 8 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
115
Voted
AIRS
2006
Springer
15 years 6 months ago
Automatic Query Type Identification Based on Click Through Information
We report on a study that was undertaken to better identify users' goals behind web search queries by using click through data. Based on user logs which contain over 80 millio...
Yiqun Liu, Min Zhang, Liyun Ru, Shaoping Ma