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» Discovering topical structures of databases
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NIPS
2007
14 years 11 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
ACL
1997
14 years 11 months ago
Automatic Detection of Text Genre
As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and st...
Brett Kessler, Geoffrey Nunberg, Hinrich Schü...
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
15 years 1 months ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
BIBE
2007
IEEE
152views Bioinformatics» more  BIBE 2007»
14 years 10 months ago
SBLAST: Structural Basic Local Alignment Searching Tools using Geometric Hashing
While much research has been done on finding similarities between protein sequences, there has not been the same progress on finding similarities between protein structures. Here ...
Tom Milledge, Gaolin Zheng, Tim Mullins, Giri Nara...
UAI
2000
14 years 11 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller