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ICASSP
2011
IEEE
14 years 8 months ago
Random finite set for data association in multiple camera tracking
Most methods for multiple camera tracking rely on accurate calibration to associate data from multiple cameras. However, it often is not easy to have an accurate calibration in so...
Nam Trung Pham, Richard Chang, Karianto Leman, Tec...
BMCBI
2005
116views more  BMCBI 2005»
15 years 4 months ago
Automating Genomic Data Mining via a Sequence-based Matrix Format and Associative Rule Set
There is an enormous amount of information encoded in each genome
Jonathan D. Wren, David Johnson, Le Gruenwald
CGO
2006
IEEE
15 years 8 months ago
2D-Profiling: Detecting Input-Dependent Branches with a Single Input Data Set
Static compilers use profiling to predict run-time program behavior. Generally, this requires multiple input sets to capture wide variations in run-time behavior. This is expensiv...
Hyesoon Kim, M. Aater Suleman, Onur Mutlu, Yale N....
JSS
2008
157views more  JSS 2008»
15 years 4 months ago
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...