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» Generalizing over Several Learning Settings
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CLOUD
2010
ACM
14 years 24 days ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
BMCBI
2010
144views more  BMCBI 2010»
13 years 2 months ago
Optimizing Transformations for Automated, High Throughput Analysis of Flow Cytometry Data
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...
CIKM
2011
Springer
12 years 7 months ago
Lower-bounding term frequency normalization
In this paper, we reveal a common deficiency of the current retrieval models: the component of term frequency (TF) normalization by document length is not lower-bounded properly;...
Yuanhua Lv, ChengXiang Zhai
SIGCOMM
2006
ACM
14 years 1 months ago
Algorithms to accelerate multiple regular expressions matching for deep packet inspection
There is a growing demand for network devices capable of examining the content of data packets in order to improve network security and provide application-specific services. Most...
Sailesh Kumar, Sarang Dharmapurikar, Fang Yu, Patr...
CVPR
2009
IEEE
15 years 2 months ago
Volterrafaces: Discriminant Analysis using Volterra Kernels
In this paper we present a novel face classification system where we represent face images as a spatial arrangement of image patches, and seek a smooth non-linear functional map...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri