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HUMO
2007
Springer
15 years 9 months ago
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
Yang Wang 0003, Payam Sabzmeydani, Greg Mori
EMNLP
2010
15 years 1 months ago
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
Daniel David Walker, William B. Lund, Eric K. Ring...
WWW
2011
ACM
14 years 10 months ago
ReadAlong: reading articles and comments together
We propose a new paradigm for displaying comments: showing comments alongside parts of the article they correspond to. We evaluate the effectiveness of various approaches for thi...
Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib...
ASSETS
2008
ACM
15 years 5 months ago
Adapting word prediction to subject matter without topic-labeled data
Word prediction helps to increase communication rate when using Augmentative and Alternative Communication devices. Basic prediction systems offer topically inappropriate predicti...
Keith Trnka
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 3 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li