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CVPR
2012
IEEE
13 years 1 months 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
116
Voted
SIGMOD
2004
ACM
165views Database» more  SIGMOD 2004»
15 years 11 months ago
Industrial-Strength Schema Matching
Schema matching identifies elements of two given schemas that correspond to each other. Although there are many algorithms for schema matching, little has been written about build...
Philip A. Bernstein, Sergey Melnik, Michalis Petro...
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
15 years 3 months ago
Enterprise information extraction: recent developments and open challenges
Information extraction (IE) — the problem of extracting structured information from unstructured text — has become an increasingly important topic in recent years. A SIGMOD 20...
Laura Chiticariu, Yunyao Li, Sriram Raghavan, Fred...
IDEAS
2008
IEEE
80views Database» more  IDEAS 2008»
15 years 5 months ago
Improved count suffix trees for natural language data
With more and more natural language text stored in databases, handling respective query predicates becomes very important. Optimizing queries with predicates includes (sub)string ...
Guido Sautter, Cristina Abba, Klemens Böhm
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 4 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...