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PAMI
2006
208views more  PAMI 2006»
15 years 6 months ago
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Sanja Fidler, Danijel Skocaj, Ales Leonardis
SIAMSC
2008
145views more  SIAMSC 2008»
15 years 6 months ago
Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal
An effective 2-phase method for removing impulse noise was recently proposed. Its phase 1 identifies noisy pixel candidates by using median-type filters. Then in phase 2, it resto...
Raymond H. Chan, Ke Chen 0002
PR
2010
147views more  PR 2010»
15 years 5 months ago
A semi-supervised approach to space carving
In this paper, we present a semi-supervised approach to space carving by casting the recovery of volumetric data from multiple views into an evidence combining setting. The method...
Surya Prakash 0002, Antonio Robles-Kelly
TIP
2010
129views more  TIP 2010»
15 years 5 months ago
Selective Data Pruning-Based Compression Using High-Order Edge-Directed Interpolation
—This paper proposes a selective data pruning-based compression scheme to improve the rate-distortion relation of compressed images and video sequences. The original frames are p...
Dung Trung Vo, Joel Solé, Peng Yin, Cristin...
IGARSS
2010
15 years 4 months ago
Minimum volume simplicial enclosure for spectral unmixing of remotely sensed hyperspectral data
Spectral unmixing is an important task for remotely sensed hyperspectral data exploitation. Linear spectral unmixing relies on two main steps: 1) identification of pure spectral c...
Eligius M. T. Hendrix, Inmaculada García, J...