An axiomatic theory of information trees
An economical backup warning strategy for a hard disk
An economical transformation of graph grammars
An effective global path planning algorithm with teaching-learning-based optimization
Due to the widespread use of mobile robots in various applications, the path planning problem has emerged as one of the important research topics. Path planning is defined as finding the shortest path starting from the initial point to the destination in such a way as to get rid of the obstacles it encounters. In this study, we propose a path planning algorithm based on a teaching-learning-based optimization (TLBO) algorithm with Bezier curves in a static environment with obstacles. The proposed...
An efficient algorithm for adaptive total variation based image decomposition and restoration
With the aim to better preserve sharp edges and important structure features in the recovered image, this article researches an improved adaptive total variation regularization and H −1 norm fidelity based strategy for image decomposition and restoration. Computationally, for minimizing the proposed energy functional, we investigate an efficient numerical algorithm-the split Bregman method, and briefly prove its convergence. In addition, comparisons are also made with the classical OSV (Osher-Sole-Vese)...
An efficient algorithm for computing real powers of a matrix and a related matrix function
The paper is devoted to an algorithm for computing matrices and for a given square matrix and a real . The algorithm uses the binary expansion of and has the logarithmic computational complexity with respect to . The problem stems from the control theory.
An Efficient Algorithm for Guard Placement in Polygons with Holes.
An efficient algorithm for the maximum distance problem.
An efficient algorithm for the transversal hypergraph generation.
An efficient ART1 algorithm based on vector computation.
An efficient implementation of Sugiyama's algorithm for layered graph drawing.
An Efficient Motion-Planning Algorithm for a Convex Polygonal Object in Two-Dimensional Polygonal Space.
An Efficient Procedure for Mining Statistically Significant Frequent Itemsets
An efficient SQL-based querying method to RDF schemata
An embedding problem and its application in linguistics
An error recovery method for translations of LL(1)-languages [Abstract of thesis]
An evolutionary approach to constraint-regularized learning.
The success of machine learning methods for inducing models from data crucially depends on the proper incorporation of background knowledge about the model to be learned. The idea of constraint-regularized learning is to employ fuzzy set-based modeling techniques in order to express such knowledge in a flexible way, and to formalize it in terms of fuzzy constraints. Thus, background knowledge can be used to appropriately bias the learn ing process within the regularization framework of inductive...
An evolutionary approach to geometrical place problems.
An Exact Algorithm for Kinodynamic Planning in the Plane.
An exact method for solving the multi-processor flow-shop