AbstractMany applications have a need for indexing unstructured data. It turns out that a similar ad-hoc method is being used in many of them – that of considering small particles of the data.In this paper we formalize this concept as a tiling problem and consider the efficiency of dealing with this model in the pattern matching setting.We present an efficient algorithm for the one-dimensional tiling problem, and the one-dimensional tiled pattern matching problem. We prove the two-dimensional problem is hard and then develop an approximation algorithm with an approximation ratio converging to 2. We show that other two-dimensional versions of the problem are also hard, regardless of the number of neighbors a tile has
Abstract. A tiling of a matrix is an exact cover of its elements by a set of row frag-ments, called ...
AbstractWe introduce the following optimization version of the classical pattern matching problem (r...
In this work, we investigate the problem of automatically inferring the lattice structure of near-re...
AbstractMany applications have a need for indexing unstructured data. It turns out that a similar ad...
Indexing methods for the approximate string matching problem spend a consider-able effort generating...
AbstractGiven a pattern string P and a text string T, the one-dimensional real-scale pattern matchin...
Tiling systems are a well accepted model to define recognizable two-dimensional languages but they ...
AbstractWe present new and faster algorithms to search for a two-dimensional pattern in a two-dimens...
We present new and faster algorithms to search for a two-dimensional pattern in a two-dimensional te...
Tiling systems are a well accepted model to define recognizable two-dimensional languages but they ...
AbstractIndexing methods for the approximate string matching problem spend a considerable effort gen...
AbstractSimplified versions of Kedem–Landau–Palem algorithms for parallel one-dimensional and two-di...
International audienceIn the framework of perfect loop nests with uniform dependences, tiling has be...
We consider how to index strings, trees and graphs for jum- bled pattern matching when we are asked ...
Tiling systems are a well accepted model to define recognizable two-dimensional languages but they ...
Abstract. A tiling of a matrix is an exact cover of its elements by a set of row frag-ments, called ...
AbstractWe introduce the following optimization version of the classical pattern matching problem (r...
In this work, we investigate the problem of automatically inferring the lattice structure of near-re...
AbstractMany applications have a need for indexing unstructured data. It turns out that a similar ad...
Indexing methods for the approximate string matching problem spend a consider-able effort generating...
AbstractGiven a pattern string P and a text string T, the one-dimensional real-scale pattern matchin...
Tiling systems are a well accepted model to define recognizable two-dimensional languages but they ...
AbstractWe present new and faster algorithms to search for a two-dimensional pattern in a two-dimens...
We present new and faster algorithms to search for a two-dimensional pattern in a two-dimensional te...
Tiling systems are a well accepted model to define recognizable two-dimensional languages but they ...
AbstractIndexing methods for the approximate string matching problem spend a considerable effort gen...
AbstractSimplified versions of Kedem–Landau–Palem algorithms for parallel one-dimensional and two-di...
International audienceIn the framework of perfect loop nests with uniform dependences, tiling has be...
We consider how to index strings, trees and graphs for jum- bled pattern matching when we are asked ...
Tiling systems are a well accepted model to define recognizable two-dimensional languages but they ...
Abstract. A tiling of a matrix is an exact cover of its elements by a set of row frag-ments, called ...
AbstractWe introduce the following optimization version of the classical pattern matching problem (r...
In this work, we investigate the problem of automatically inferring the lattice structure of near-re...