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...
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 ...
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...
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...
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. ...