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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
15 years 5 months ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
107
Voted
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
15 years 5 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
117
Voted
CVPR
2011
IEEE
14 years 9 months ago
Face Recognition in Unconstrained Videos with Matched Background Similarity
Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique characteristics and ...
Lior Wolf, Tal Hassner, Itay Maoz
122
Voted
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 3 months ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
108
Voted
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
15 years 2 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye