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SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
14 years 13 days ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
ICA
2010
Springer
14 years 10 months ago
Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...
BMCBI
2010
155views more  BMCBI 2010»
14 years 9 months ago
BISMA - Fast and accurate bisulfite sequencing data analysis of individual clones from unique and repetitive sequences
Background: Bisulfite sequencing is a popular method to analyze DNA methylation patterns at high resolution. A region of interest is targeted by PCR and about 20-50 subcloned DNA ...
Christian Rohde, Yingying Zhang, Richard Reinhardt...
PLDI
2010
ACM
15 years 1 months ago
Detecting Inefficiently-Used Containers to Avoid Bloat
Runtime bloat degrades significantly the performance and scalability of software systems. An important source of bloat is the inefficient use of containers. It is expensive to cre...
Guoqing Xu, Atanas Rountev
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
15 years 10 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims