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JMLR
2006
186views more  JMLR 2006»
13 years 9 months ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
ICRA
2010
IEEE
157views Robotics» more  ICRA 2010»
13 years 7 months ago
Sampling-Based Motion and Symbolic Action Planning with geometric and differential constraints
Abstract— To compute collision-free and dynamicallyfeasibile trajectories that satisfy high-level specifications given in a planning-domain definition language, this paper prop...
Erion Plaku, Gregory D. Hager
MVA
2010
229views Computer Vision» more  MVA 2010»
13 years 3 months ago
Robust 3D object registration without explicit correspondence using geometric integration
3D vision guided manipulation of components is a key problem of industrial machine vision. In this paper, we focus on the localization and pose estimation of known industrial objec...
Dirk Breitenreicher, Christoph Schnörr
NIPS
2001
13 years 10 months ago
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
Pascal Vincent, Yoshua Bengio
DATE
2007
IEEE
98views Hardware» more  DATE 2007»
14 years 3 months ago
Simulation-based reusable posynomial models for MOS transistor parameters
We present an algorithm to automatically design posynomial models for parameters of the MOS transistors using simulation data. These models improve the accuracy of the Geometric P...
Varun Aggarwal, Una-May O'Reilly