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» Image Super-Resolution Via Sparse Representation
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CVPR
2011
IEEE
13 years 1 months ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...
ISBI
2004
IEEE
14 years 7 months ago
Diffusion Smoothing on Brain Surface via Finite Element Method
Surface data such as the segmented cortical surface of the human brain plays an important role in medical imaging. To increase the signal-to-noise ratio for data residing on the b...
Moo Chung, Jonathan Taylor
ICML
2010
IEEE
13 years 7 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
SMI
2006
IEEE
152views Image Analysis» more  SMI 2006»
14 years 8 days ago
A Laplacian Based Approach for Free-Form Deformation of Sparse Low-degree IMplicit Surfaces
Sparse Low-degree IMplicit (SLIM) surface [11] is a recently developed non-conforming surface representation. In this paper, a method for free-form deformation of SLIM surfaces is...
Yutaka Ohtake, Takashi Kanai, Kiwamu Kase
PAMI
2008
220views more  PAMI 2008»
13 years 6 months ago
Pedestrian Detection via Classification on Riemannian Manifolds
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
Oncel Tuzel, Fatih Porikli, Peter Meer