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143
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IVC
2008
69views more  IVC 2008»
15 years 3 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
145
Voted
EMNLP
2010
15 years 1 months ago
Translingual Document Representations from Discriminative Projections
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
John Platt, Kristina Toutanova, Wen-tau Yih
123
Voted
CORR
2011
Springer
181views Education» more  CORR 2011»
14 years 10 months ago
Compressed String Dictionaries
The problem of storing a set of strings – a string dictionary – in compact form appears naturally in many cases. While classically it has represented a small part of the whole ...
Nieves R. Brisaboa, Rodrigo Cánovas, Miguel...
125
Voted
COLING
2010
14 years 10 months ago
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
Dmitry Davidov, Oren Tsur, Ari Rappoport
152
Voted
JMLR
2010
137views more  JMLR 2010»
14 years 10 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith