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AIRS
2009
Springer
15 years 4 months ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan
ACL
2012
13 years 7 days ago
Finding Bursty Topics from Microblogs
Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Al...
Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim
CVPR
2006
IEEE
15 years 12 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin
CIKM
2004
Springer
15 years 3 months ago
Event threading within news topics
With the overwhelming volume of online news available today, there is an increasing need for automatic techniques to analyze and present news to the user in a meaningful and effi...
Ramesh Nallapati, Ao Feng, Fuchun Peng, James Alla...
FLAIRS
2003
14 years 11 months ago
Topic Extraction and Extension to Support Concept Mapping
Successful knowledge management may depend not only on knowledge capture, but on knowledge construction—on formulating new and useful knowledge that was not previously available...
David B. Leake, Ana Gabriela Maguitman, Thomas Rei...