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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 11 days ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
3DOR
2009
15 years 28 days ago
A 3D Shape Benchmark for Retrieval and Automatic Classification of Architectural Data
When drafting new buildings, architects make intensive use of existing 3D models including building elements, furnishing, and environment elements. These models are either directl...
Raoul Wessel, Ina Blümel, Reinhard Klein
WWW
2006
ACM
16 years 15 days ago
Optimizing scoring functions and indexes for proximity search in type-annotated corpora
We introduce a new, powerful class of text proximity queries: find an instance of a given "answer type" (person, place, distance) near "selector" tokens matchi...
Soumen Chakrabarti, Kriti Puniyani, Sujatha Das
DOLAP
2007
ACM
15 years 3 months ago
OLAP preferences: a research agenda
Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the ...
Stefano Rizzi
RWEB
2005
Springer
15 years 5 months ago
Personalization for the Semantic Web
Searching for the meaning of the word “personalization” on a popular search engine, one finds twenty-three different answers, including “the process of matching categorized...
Matteo Baldoni, Cristina Baroglio, Nicola Henze