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...
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...
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...
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...
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...