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PVLDB
2010
151views more  PVLDB 2010»
13 years 6 months ago
A Generic Framework for Handling Uncertain Data with Local Correlations
Data uncertainty is ubiquitous in many real-world applications such as sensor/RFID data analysis. In this paper, we investigate uncertain data that exhibit local correlations, tha...
Xiang Lian, Lei Chen 0002
CVPR
2012
IEEE
11 years 10 months ago
Learning hierarchical similarity metrics
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamani...
TIP
2008
154views more  TIP 2008»
13 years 8 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
CIARP
2009
Springer
14 years 24 days ago
Neural Network Ensembles from Training Set Expansions
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
Debrup Chakraborty
SISAP
2009
IEEE
149views Data Mining» more  SISAP 2009»
14 years 2 months ago
Combinatorial Framework for Similarity Search
—We present an overview of the combinatorial framework for similarity search. An algorithm is combinatorial if only direct comparisons between two pairwise similarity values are ...
Yury Lifshits