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ICML
2007
IEEE
16 years 6 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
CGO
2006
IEEE
15 years 11 months ago
Fast and Effective Orchestration of Compiler Optimizations for Automatic Performance Tuning
Although compile-time optimizations generally improve program performance, degradations caused by individual techniques are to be expected. One promising research direction to ove...
Zhelong Pan, Rudolf Eigenmann
CIKM
2004
Springer
15 years 9 months ago
InfoAnalyzer: a computer-aided tool for building enterprise taxonomies
In this paper we study the problem of collecting training samples for building enterprise taxonomies. We develop a computer-aided tool named InfoAnalyzer, which can effectively as...
Li Zhang, Shixia Liu, Yue Pan, Liping Yang
CISST
2004
144views Hardware» more  CISST 2004»
15 years 6 months ago
Interactive Flag Identification Using Image Retrieval Techniques
We propose an interactive system for identifying flags in photos taken from natural scenes. The system is interactive in two respects. First, because segmentation can be a difficu...
Eduardo Hart, Sung-Hyuk Cha, Charles C. Tappert
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 3 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby