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» The Kernel Least-Mean-Square Algorithm
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ASPLOS
2011
ACM
14 years 7 months ago
On-the-fly elimination of dynamic irregularities for GPU computing
The power-efficient massively parallel Graphics Processing Units (GPUs) have become increasingly influential for scientific computing over the past few years. However, their ef...
Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Kai Tian, ...
156
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CVPR
2004
IEEE
16 years 6 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
RECOMB
2004
Springer
16 years 4 months ago
Comparing in situ mRNA expression patterns of drosophila embryos
In situ staining of a target mRNA at several time points during the development of a D. melanogaster embryo gives one a detailed spatio-temporal view of the expression pattern of ...
Hanchuan Peng, Eugene W. Myers
CVPR
2006
IEEE
16 years 6 months ago
Learning Distance Metrics with Contextual Constraints for Image Retrieval
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Yin...
CVPR
2008
IEEE
16 years 6 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert