We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
The partial sums problem in succinct data structures asks to preprocess an array A[1 . . n] of bits into a data structure using as close to n bits as possible, and answer queries ...
Sparse Bundle Adjustment (SBA) is a method for simultaneously optimizing a set of camera poses and visible points. It exploits the sparse primary structure of the problem, where c...
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for reasoning about and exploiting parallelism in âregularâ...
Keshav Pingali, Donald Nguyen, Milind Kulkarni, Ma...
Researchers in the ïŹeld of multiagent sequential decision making have commonly used the terms âweakly-coupledâ and âloosely-coupledâ to qualitatively classify problems i...