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» Critical Scale for Unsupervised Cluster Discovery
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MLDM
2007
Springer
13 years 10 months ago
Critical Scale for Unsupervised Cluster Discovery
Tomoya Sakai, Atsushi Imiya, Takuto Komazaki, Shio...
INTERSPEECH
2010
12 years 11 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
13 years 10 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
CVPR
2011
IEEE
13 years 14 days ago
From Region Similarity to Category Discovery
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
Carolina Galleguillos, Brian McFee, Serge Belongie...
NAACL
2003
13 years 5 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith