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CVPR
2010
IEEE
15 years 6 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
CVPR
2000
IEEE
16 years 7 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
VTS
2007
IEEE
129views Hardware» more  VTS 2007»
16 years 4 days ago
Supply Voltage Noise Aware ATPG for Transition Delay Faults
The sensitivity of very deep submicron designs to supply voltage noise is increasing due to higher path delay variations and reduced noise margins with supply noise scaling. The s...
Nisar Ahmed, Mohammad Tehranipoor, Vinay Jayaram
ICIP
2001
IEEE
16 years 7 months ago
DCT quantization noise in compressed images
In lossy image compression schemes utilizing the discrete cosine transform (DCT), quantization of the DCT coefficients introduces error in the image representation and a loss of s...
Mark A. Robertson, Robert L. Stevenson
DAGM
2004
Springer
15 years 9 months ago
The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion
Abstract. When an object moves, it covers and uncovers texture in the background. This pattern of change is sufficient to define the object's shape, velocity, relative depth, ...
Theresa Cooke, Douglas W. Cunningham, Heinrich H. ...