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» An Algorithm for Intrinsic Dimensionality Estimation
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164
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PAMI
2007
214views more  PAMI 2007»
15 years 3 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
ICML
2004
IEEE
16 years 4 months ago
Nonparametric classification with polynomial MPMC cascades
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...
Sander M. Bohte, Markus Breitenbach, Gregory Z. Gr...
138
Voted
UAI
2000
15 years 5 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
109
Voted
CGF
2010
111views more  CGF 2010»
15 years 3 months ago
One Point Isometric Matching with the Heat Kernel
A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure-preserving maps between them. A particul...
Maks Ovsjanikov, Quentin Mérigot, Facundo M...
125
Voted
CGF
2006
94views more  CGF 2006»
15 years 3 months ago
Optimizing Control Variate Estimators for Rendering
We present the Optimizing Control Variate (OCV) estimator, a new estimator for Monte Carlo rendering. Based upon a deterministic sampling framework, OCV allows multiple importance...
Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui,...