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» Recognizing Topics through the Use of Interaction Structures
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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 5 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
CHI
2009
ACM
14 years 5 months ago
Conversation clusters: grouping conversation topics through human-computer dialog
Conversation Clusters explores the use of visualization to highlight salient moments of live conversation while archiving a meeting. Cheaper storage and easy access to recording d...
Tony Bergstrom, Karrie Karahalios
ECAL
2001
Springer
13 years 9 months ago
I Like What I Know: How Recognition-Based Decisions Can Structure the Environment
Cognitive mechanisms are shaped by evolution to match their environments. But through their use, these mechanisms exert a shaping force on their surroundings as well. Here we explo...
Peter M. Todd, Simon Kirby
AIME
2005
Springer
13 years 10 months ago
Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure
Sketching is ubiquitous in medicine. Physicians commonly use sketches as part of their note taking in patient records and to help convey diagnoses and treatments to patients. Medic...
Peter Haddawy, Matthew N. Dailey, Ploen Kaewruen, ...
ICCV
2007
IEEE
14 years 7 months ago
People-LDA: Anchoring Topics to People using Face Recognition
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
Vidit Jain, Erik G. Learned-Miller, Andrew McCallu...