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» Extracting general-purpose features from LIDAR data
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CVPR
2012
IEEE
12 years 2 days ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ACL
2006
13 years 11 months ago
Extractive Summarization using Inter- and Intra- Event Relevance
Event-based summarization attempts to select and organize the sentences in a summary with respect to the events or the sub-events that the sentences describe. Each event has its o...
Wenjie Li, Mingli Wu, Qin Lu, Wei Xu, Chunfa Yuan
CICLING
2008
Springer
13 years 11 months ago
Verb Class Discovery from Rich Syntactic Data
Abstract. Previous research has shown that syntactic features are the most informative features in automatic verb classification. We investigate their optimal characteristics by co...
Lin Sun, Anna Korhonen, Yuval Krymolowski
ICIP
2001
IEEE
14 years 11 months ago
Image data mining from financial documents based on wavelet features
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
Ossama El Badawy, Mahmoud R. El-Sakka, Khaled Hass...
COLING
2010
13 years 4 months ago
Shallow Information Extraction from Medical Forum Data
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, J...