To prevent large error accumulation in multiple image registration considering real-time applications, we propose a new fast global mosaic method using sequential block matching in...
We propose an active set algorithm to solve the convex quadratic programming (QP) problem which is the core of the support vector machine (SVM) training. The underlying method is ...
Automated deduction methods should be speciļ¬ed not procedurally, but declaratively, as inference systems which are proved correct regardless of implementation details. Then, diļ...
: We present polynomial-time interior-point algorithms for solving the Fisher and Arrow-Debreu competitive market equilibrium problems with linear utilities and n players. Both of ...
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...