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» Learning from Multiple Annotators with Gaussian Processes
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ICASSP
2011
IEEE
12 years 11 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
12 years 11 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
12 years 7 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»
13 years 7 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
14 years 1 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...