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77
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ICCV
2007
IEEE
16 years 2 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid
86
Voted
ICIP
2002
IEEE
16 years 2 months ago
Reconstruction of irregularly-sampled images by regularization in spline spaces
We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a cubic spline repres...
Carlos Vázquez, Eric Dubois, Janusz Konrad
ICPR
2004
IEEE
16 years 1 months ago
Towards Surface Regularization via Medial Axis Transitions
The reconstruction of objects from data in practical applications often leads to surfaces with small perturbations and other artifacts which make the detection of their ridges and...
Frederic F. Leymarie, Benjamin B. Kimia, Peter J. ...
107
Voted
ICML
2007
IEEE
16 years 1 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
88
Voted
NIPS
2000
15 years 1 months ago
The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference
Preliminary work by the authors made use of the so-called "Manhattan world" assumption about the scene statistics of city and indoor scenes. This assumption stated that ...
James M. Coughlan, Alan L. Yuille