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» Robust system multiangulation using subspace methods
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PAMI
2006
208views more  PAMI 2006»
13 years 5 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
CVPR
2004
IEEE
14 years 7 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
WEBI
2010
Springer
13 years 3 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
ICC
2007
IEEE
108views Communications» more  ICC 2007»
14 years 2 days ago
Subspace Methods for Network Resource Reservation Coding Processes
—This paper presents a mathematical framework for resource reservation in TCP/IP networks by invoking a dynamic system viewpoint on the congestion monitoring processes occurring ...
Alexandru Murgu
ICCV
2003
IEEE
14 years 7 months ago
Weighted and Robust Incremental Method for Subspace Learning
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
Danijel Skocaj, Ales Leonardis