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FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
13 years 11 months ago
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
Edward Wijaya, Hajime Harada, Paul Horton
NIPS
2008
13 years 11 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
SFP
2004
13 years 11 months ago
A graphic functional-dataflow language
NiMo (Nets in Motion) is a visual environment aimed to support totally graphic programming in Data Flow style, with a strong functional inspiration. Solutions of growing complexit...
Silvia Clerici, Cristina Zoltan
BMVC
2010
13 years 7 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
NIPS
2003
13 years 11 months ago
Log-Linear Models for Label Ranking
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Ofer Dekel, Christopher D. Manning, Yoram Singer