We present a novel variational and statistical approach for shape registration. Shapes of interest are implicitly embedded in a higher dimensional space of distance transforms. In...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Performance-based contracting is reshaping service support supply chains in capital intensive industries such as aerospace and defense. Known as Power by the Hour in the private s...
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Design patterns have proven to be very useful for the design of object-oriented systems. The power of design patterns stems from their ability to provide generic solutions to reap...