Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
This paper claims that in its current use the term ‘network’ represents no more than a suggestive image of organizing in an age of spectacular context-crossing electronic tran...
This paper presents the Incremental Breakout Algorithm with Variable Ordering (IncBA). This algorithm belongs to the class of local search algorithms for solving Constraint Satisf...
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...