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» A Geometric Functional for Derivatives Approximation
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94
Voted
ICIP
2008
IEEE
16 years 2 months ago
Sparse orthonormal transforms for image compression
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
105
Voted
FOCS
1989
IEEE
15 years 4 months ago
Constant Depth Circuits, Fourier Transform, and Learnability
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean function has almost all of its “power spectrum”...
Nathan Linial, Yishay Mansour, Noam Nisan
CVPR
2000
IEEE
16 years 2 months ago
Reconstruction from Six-Point Sequences
An algorithm is given for computing projective structure from a set of six points seen in a sequence of many images. The method is based on the notion of duality between cameras a...
Richard I. Hartley, Nicolas Y. Dano
90
Voted
ICML
2010
IEEE
15 years 1 months ago
Improved Local Coordinate Coding using Local Tangents
Local Coordinate Coding (LCC), introduced in (Yu et al., 2009), is a high dimensional nonlinear learning method that explicitly takes advantage of the geometric structure of the d...
Kai Yu, Tong Zhang
141
Voted
CVPR
2011
IEEE
14 years 6 months ago
Reduced Epipolar Cost for Accelerated Incremental SfM
We propose a reduced algebraic cost based on pairwise epipolar constraints for the iterative refinement of a multiple view 3D reconstruction. The aim is to accelerate the intermedi...
A. L. Rodriguez, P E. Lopez-de-Teruel, A. Ruiz