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NIPS
2004
13 years 9 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
AUTOMATICA
2005
92views more  AUTOMATICA 2005»
13 years 7 months ago
Resolving actuator redundancy - optimal control vs. control allocation
This paper considers actuator redundancy management for a class of overactuated nonlinear systems. Two tools for distributing the control effort among a redundant set of actuators...
Ola Härkegård, Torkel Glad
TOG
2002
130views more  TOG 2002»
13 years 7 months ago
Dual contouring of hermite data
This paper describes a new method for contouring a signed grid whose edges are tagged by Hermite data (i.e; exact intersection points and normals). This method avoids the need to ...
Tao Ju, Frank Losasso, Scott Schaefer, Joe D. Warr...
CVPR
2010
IEEE
13 years 10 months ago
Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...
Shiv Vitaladevuni, Ronen Basri
WSC
2007
13 years 10 months ago
Low bias integrated path estimators
We consider the problem of estimating the time-average variance constant for a stationary process. A previous paper described an approach based on multiple integrations of the sim...
James M. Calvin