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» Study of Challenges and Techniques in Large Scale Matching
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MM
2005
ACM
141views Multimedia» more  MM 2005»
15 years 3 months ago
SEVA: sensor-enhanced video annotation
In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a larg...
Xiaotao Liu, Mark D. Corner, Prashant J. Shenoy
DEBS
2010
ACM
15 years 1 months ago
Workload characterization for operator-based distributed stream processing applications
Operator-based programming languages provide an effective development model for large scale stream processing applications. A stream processing application consists of many runtim...
Xiaolan J. Zhang, Sujay Parekh, Bugra Gedik, Henri...
BMCBI
2008
142views more  BMCBI 2008»
14 years 10 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
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BMCBI
2006
82views more  BMCBI 2006»
14 years 10 months ago
Transcriptomic response to differentiation induction
Background: Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A com...
G. W. Patton, Robert M. Stephens, I. A. Sidorov, X...
BMCBI
2006
164views more  BMCBI 2006»
14 years 10 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta