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» Data Discretization Unification
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PRL
2011
13 years 5 months ago
Consistency of functional learning methods based on derivatives
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
Fabrice Rossi, Nathalie Villa-Vialaneix
SIMPRA
2011
13 years 5 months ago
A real-time multigrid finite hexahedra method for elasticity simulation using CUDA
In this paper we present a GPU-based multigrid approach for simulating elastic deformable objects in real time. Our method is based on a finite element discretization of the defo...
Christian Dick, Joachim Georgii, Rüdiger West...
FGR
2011
IEEE
238views Biometrics» more  FGR 2011»
13 years 2 months ago
The first facial expression recognition and analysis challenge
— Automatic Facial Expression Recognition and Analysis, in particular FACS Action Unit (AU) detection and discrete emotion detection, has been an active topic in computer science...
Michel François Valstar, Bihan Jiang, Marc ...
ICASSP
2011
IEEE
13 years 2 months ago
Ordering for energy efficient estimation and optimization in sensor networks
A discretized version of a continuous optimization problem is considered for the case where data is obtained from a set of dispersed sensor nodes and the overall metric is a sum o...
Rick S. Blum
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
14 years 10 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian