In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
We propose a new algorithm for two-phase, piecewise-smooth segmentation with shape prior. The image is segmented by a binary template that is deformed by a regular geometric transf...
Benoit Mory, Laurent D. Cohen, Oudom Somphone, Sh&...
In order to handle device matching in analog circuits, some pairs of modules are required to be placed symmetrically. This paper addresses this device-level placement problem for ...
Yiu-Cheong Tam, Evangeline F. Y. Young, Chris C. N...
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...