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DS
1997
117views Database» more  DS 1997»
14 years 11 months ago
Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases
Determining attribute correspondences is a difficult, time-consuming, knowledge-intensive part of database integration. We report on experiences with tools that identified candi...
Chris Clifton, E. Housman, Arnon Rosenthal
BMCBI
2010
82views more  BMCBI 2010»
14 years 9 months ago
Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition
Background: Metabolic pathway is a highly regulated network consisting of many metabolic reactions involving substrates, enzymes, and products, where substrates can be transformed...
Lei Chen, Kai-Yan Feng, Yu-Dong Cai, Kuo-Chen Chou...
95
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ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
14 years 7 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
ACCV
2010
Springer
14 years 5 months ago
Stream-based Active Unusual Event Detection
We present a new active learning approach to incorporate human feedback for on-line unusual event detection. In contrast to most existing unsupervised methods that perform passiv...
Chen Change Loy, Tao Xiang, Shaogang Gong
ICDAR
2003
IEEE
15 years 2 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...