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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 4 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
ICDM
2009
IEEE
131views Data Mining» more  ICDM 2009»
15 years 4 months ago
Unified Solution to Nonnegative Data Factorization Problems
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin
ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
15 years 4 months ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu
ICDM
2009
IEEE
102views Data Mining» more  ICDM 2009»
15 years 4 months ago
Global Slope Change Synopses for Measurement Maps
Quality control using scalar quality measures is standard practice in manufacturing. However, there are also quality measures that are determined at a large number of positions on ...
Frank Rosenthal, Ulrike Fischer, Peter Benjamin Vo...
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 4 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
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