Add to ORKGWe present an algorithm for compressing pattern databases (PDBs) and a method for fast random access of these com-pressed PDBs. We demonstrate the effectiveness of our technique by compressing two 6-tile sliding-tile PDBs by a factor of 12 and a 7-tile sliding-tile PDB by a factor of 24
Abstract. We study the fully compressed pattern matching problem (FCPM problem): Given T and P which...
Most modern lossless data compression techniques used today, are based in dictionaries. If some stri...
Abstract. Most modern lossless data compression techniques used today, are based in dictionaries. If...
A pattern database (PDB) is a heuristic function implemented as a lookup table that stores the lengt...
We present a new technique to compress pattern databases to provide consistent heuristics without lo...
Abstract. A pattern database (PDB) is a heuristic function implemented as a lookup table. It stores ...
One common pattern database compression technique is to merge adjacent database entries and store th...
In this paper we present a lossless technique to compress pattern databases (PDBs) in the Pancake So...
In modern column-oriented databases, compression is important for improving I/O throughput and overa...
Pattern Databases (PDBs) are a common form of abstraction-based heuristic which are often compressed...
. We survey the complexity issues related to several algorithmic problems for compressed one- and tw...
We consider a fully compressed pattern matching prob-lem, where both text T and pattern P are given ...
In this paper we focus on the problem of compressed pattern matching for the text compression using ...
In this paper we present hardware algorithms and their software implementation to search a compresse...
A popular way to create domain-independent heuristic functions is by using abstraction, where an ab...
Abstract. We study the fully compressed pattern matching problem (FCPM problem): Given T and P which...
Most modern lossless data compression techniques used today, are based in dictionaries. If some stri...
Abstract. Most modern lossless data compression techniques used today, are based in dictionaries. If...
A pattern database (PDB) is a heuristic function implemented as a lookup table that stores the lengt...
We present a new technique to compress pattern databases to provide consistent heuristics without lo...
Abstract. A pattern database (PDB) is a heuristic function implemented as a lookup table. It stores ...
One common pattern database compression technique is to merge adjacent database entries and store th...
In this paper we present a lossless technique to compress pattern databases (PDBs) in the Pancake So...
In modern column-oriented databases, compression is important for improving I/O throughput and overa...
Pattern Databases (PDBs) are a common form of abstraction-based heuristic which are often compressed...
. We survey the complexity issues related to several algorithmic problems for compressed one- and tw...
We consider a fully compressed pattern matching prob-lem, where both text T and pattern P are given ...
In this paper we focus on the problem of compressed pattern matching for the text compression using ...
In this paper we present hardware algorithms and their software implementation to search a compresse...
A popular way to create domain-independent heuristic functions is by using abstraction, where an ab...
Abstract. We study the fully compressed pattern matching problem (FCPM problem): Given T and P which...
Most modern lossless data compression techniques used today, are based in dictionaries. If some stri...
Abstract. Most modern lossless data compression techniques used today, are based in dictionaries. If...