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COLING
2010
13 years 3 months ago
Topic Models for Meaning Similarity in Context
Recent work on distributional methods for similarity focuses on using the context in which a target word occurs to derive context-sensitive similarity computations. In this paper ...
Georgiana Dinu, Mirella Lapata
BMVC
2010
13 years 6 months ago
Discriminative Topics Modelling for Action Feature Selection and Recognition
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...
NIPS
2008
13 years 10 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
SIGIR
2009
ACM
14 years 3 months ago
A relevance-based topic model for news event tracking
Event tracking is the task of discovering temporal patterns of popular events from text streams. Existing approaches for event tracking have two limitations: scalability and inabi...
Viet Ha-Thuc, Yelena Mejova, Christopher Harris, P...