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» Learning from Multiple Annotators with Gaussian Processes
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ICASSP
2011
IEEE
14 years 9 months ago
Spatially-correlated sensor discriminant analysis
A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
Kush R. Varshney
ICASSP
2011
IEEE
14 years 9 months ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...
EMNLP
2011
14 years 5 months ago
Class Label Enhancement via Related Instances
Class-instance label propagation algorithms have been successfully used to fuse information from multiple sources in order to enrich a set of unlabeled instances with class labels...
Zornitsa Kozareva, Konstantin Voevodski, Shang-Hua...
BMCBI
2008
99views more  BMCBI 2008»
15 years 6 months ago
Binning sequences using very sparse labels within a metagenome
Background: In metagenomic studies, a process called binning is necessary to assign contigs that belong to multiple species to their respective phylogenetic groups. Most of the cu...
Chon-Kit Kenneth Chan, Arthur L. Hsu, Saman K. Hal...
IPPS
2006
IEEE
15 years 12 months ago
Compiler assisted dynamic management of registers for network processors
Modern network processors support high levels of parallelism in packet processing by supporting multiple threads that execute on a micro-engine. Threads switch context upon encoun...
R. Collins, Fernando Alegre, Xiaotong Zhuang, Sant...