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CIKM
2010
Springer
15 years 4 months ago
You are where you tweet: a content-based approach to geo-locating twitter users
We propose and evaluate a probabilistic framework for estimating a Twitter user’s city-level location based purely on the content of the user’s tweets, even in the absence of ...
Zhiyuan Cheng, James Caverlee, Kyumin Lee
SIAMIS
2011
15 years 1 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
MM
2009
ACM
219views Multimedia» more  MM 2009»
16 years 19 days ago
Descriptive visual words and visual phrases for image applications
The Bag-of-visual Words (BoW) image representation has been applied for various problems in the fields of multimedia and computer vision. The basic idea is to represent images as ...
Shiliang Zhang, Qi Tian, Gang Hua, Qingming Huang,...
DAM
2011
15 years 1 months ago
On minimal Sturmian partial words
Partial words, which are sequences that may have some undefined positions called holes, can be viewed as sequences over an extended alphabet A = A ∪ { }, where stands for a hol...
Francine Blanchet-Sadri, John Lensmire
158
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RTA
2010
Springer
15 years 10 months ago
Automata for Data Words and Data Trees
Data words and data trees appear in verification and XML processing. The term “data” means that positions of the word, or tree, are decorated with elements of an infinite set...
Mikolaj Bojanczyk