The versatility of exponential families, along with their attendant convexity properties, make them a popular and effective statistical model. A central issue is learning these mo...
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
We consider the problem of learning to map between two vector spaces given pairs of matching vectors, one from each space. This problem naturally arises in numerous vision problem...
We present a method for effective navigation in structure of large information spaces. The method employs incremental browsing of the information space structure and visualizes in...
This paper presents multiDE, an extension of Price and Storn's differential evolution (DE) algorithm that consistently outperforms state-of-the-art search techniques for iden...