In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
Abstract Within the context of solving Mixed-Integer Linear Programs by a Branch-andCut algorithm, we propose a new strategy for branching. Computational experiments show that, on ...
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
We describe a technique for improving the accuracy of range maps measured by time-of-flight (TOF) cameras. The technique is based on the observation that the range map and intensi...