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» Kernels for Semi-Structured Data
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ICML
2007
IEEE
16 years 7 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
IPPS
2007
IEEE
16 years 1 months ago
Optimizing Inter-Nest Data Locality Using Loop Splitting and Reordering
With the increasing gap between processor speed and memory latency, the performance of data-dominated programs are becoming more reliant on fast data access, which can be improved...
Sofiane Naci
CIKM
2006
Springer
15 years 10 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
ECCV
2010
Springer
15 years 9 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
15 years 8 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng