Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
Implicit surface modeling systems have been used since the mid-1980s for the generation of cartoon-like characters. Recently implicit models combined with constructive solid geome...
Callum Galbraith, Przemyslaw Prusinkiewicz, Brian ...
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
Data structure repair is a promising technique for enabling programs to execute successfully in the presence of otherwise fatal data structure corruption errors. Previous research...
In the field of neuroanatomy, automatic segmentation of electron microscopy images is becoming one of the main limiting factors in getting new insights into the functional struct...