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FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
15 years 4 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
125
Voted
NIPS
2008
15 years 4 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
15 years 4 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
15 years 1 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
15 years 4 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