We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
There are p heterogeneous objects to be assigned to n competing agents (n > p)
each with unit demand. It is required to design a Groves mechanism for this assignment problem
s...
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance...
We present several methods to generate modular code from synchronous hierarchical block diagrams. Modularity means code is generated for a given macro (i.e., composite) block inde...