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ICCV
2009
IEEE
16 years 2 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
SCALESPACE
2009
Springer
15 years 4 months ago
Bregman-EM-TV Methods with Application to Optical Nanoscopy
Abstract. Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus even have PSFs that are locally depend...
Christoph Brune, Alex Sawatzky, Martin Burger
RT
2001
Springer
15 years 2 months ago
Image-Based Reconstruction of Spatially Varying Materials
The measurement of accurate material properties is an important step towards photorealistic rendering. Many real-world objects are composed of a number of materials that often show...
Hendrik P. A. Lensch, Michael Goesele, Jan Kautz, ...
IJCAI
2003
14 years 11 months ago
Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems
Resource allocation is a key problem in autonomic computing. In this paper we use a data center scenario to motivate the need for decentralization and cooperative negotiation, and...
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart,...
3DIM
2005
IEEE
14 years 12 months ago
Bayesian Modelling of Camera Calibration and Reconstruction
Camera calibration methods, whether implicit or explicit, are a critical part of most 3D vision systems. These methods involve estimation of a model for the camera that produced t...
Rashmi Sundareswara, Paul R. Schrater