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ICCV
2009
IEEE
16 years 11 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
CVPR
2004
IEEE
16 years 8 months ago
Tomographic Reconstruction of Piecewise Smooth Images
In computed tomography, direct inversion of the Radon transform requires more projections than are practical due to constraints in scan time and image accessibility. Therefore, it...
Christopher V. Alvino, Anthony J. Yezzi Jr.
CVPR
2004
IEEE
16 years 8 months ago
Making One Object Look Like Another: Controlling Appearance Using a Projector-Camera System
We present a method for controlling the appearance of an arbitrary 3D object using a projector and a camera. Our goal is to make one object look like another by projecting a caref...
Michael D. Grossberg, Harish Peri, Shree K. Nayar,...
CVPR
2005
IEEE
16 years 8 months ago
Multi-View Geometry for General Camera Models
We consider the structure from motion problem for a previously introduced, highly general imaging model, where cameras are modeled as possibly unconstrained sets of projection ray...
Peter F. Sturm
CVPR
2007
IEEE
16 years 8 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu