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» Hierarchical exploration of large multivariate data sets
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EUROGRAPHICS
2010
Eurographics
15 years 6 months ago
HCCMeshes: Hierarchical-Culling oriented Compact Meshes
Hierarchical culling is a key acceleration technique used to efficiently handle massive models for ray tracing, collision detection, etc. To support such hierarchical culling, bo...
Tae-Joon Kim, Yongyoung Byun, Yongjin Kim, Bochang...
NAACL
2004
14 years 11 months ago
Name Tagging with Word Clusters and Discriminative Training
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Scott Miller, Jethran Guinness, Alex Zamanian
VR
2002
IEEE
15 years 2 months ago
Interacting with Visible Human Data Using an ImmersaDesk
Interaction with medical volume data has often been difficult due to the large memory and computational power required. By taking advantage of current high-end graphics hardware, ...
Ching-Yao Lin, David T. Chen, R. Bowen Loftin, Jia...
ACL
2010
14 years 7 months ago
Learning Phrase-Based Spelling Error Models from Clickthrough Data
This paper explores the use of clickthrough data for query spelling correction. First, large amounts of query-correction pairs are derived by analyzing users' query reformula...
Xu Sun, Jianfeng Gao, Daniel Micol, Chris Quirk
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
15 years 10 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu