We consider the computation of optimal alignments between sub-sequences of given motion clips based on dynamic programming. To avoid redundant computations in multiple alignment queries, we introduced the concept of a guideboard matrix. Using this data structure, the existence inquiry for an alignment is answered in O(1) time and the extraction of the alignment is done in O(n+m) time where n and m denote the numbers of frames in the considered motions
Retrieval and comparative editing/modeling of motion data require temporal alignment. In other words...
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular...
We present a novel technique for improving a fundamental aspect of iterated dynamic programming proc...
We consider the computation of optimal alignments between sub-sequences of given motion clips based ...
We present a dynamic programming algorithm for computing a best global alignment of two sequences. T...
We saw earlier that it is possible to compute optimal global alignments in linear space (it can also...
Optimal alignments are the basis of conformance checking. For long, researchers have been devoted to...
Summary: Dynamic programming (DP) is a general optimization strategy that is successfully used acros...
Algorithms for generating alignments of biological sequences have inherent statistical limitations w...
We propose a new alignment procedure that is capable of aligning protein sequences and structures in...
This paper presents Correlation-optimized Time Warping (CoTW) for aligning motion sequences. The pro...
Sequence alignment is an important operation in com-putational biology. Both dynamic programming and...
Abstract. Sequence alignment is a central problem in bioinformatics. The classical dynamic programmi...
Abstract Sequence alignment is a central problem in bioinformatics. The classical dynamic programmin...
The Constrained Multiple Sequence Alignment problem is to align a set of sequences subject to a give...
Retrieval and comparative editing/modeling of motion data require temporal alignment. In other words...
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular...
We present a novel technique for improving a fundamental aspect of iterated dynamic programming proc...
We consider the computation of optimal alignments between sub-sequences of given motion clips based ...
We present a dynamic programming algorithm for computing a best global alignment of two sequences. T...
We saw earlier that it is possible to compute optimal global alignments in linear space (it can also...
Optimal alignments are the basis of conformance checking. For long, researchers have been devoted to...
Summary: Dynamic programming (DP) is a general optimization strategy that is successfully used acros...
Algorithms for generating alignments of biological sequences have inherent statistical limitations w...
We propose a new alignment procedure that is capable of aligning protein sequences and structures in...
This paper presents Correlation-optimized Time Warping (CoTW) for aligning motion sequences. The pro...
Sequence alignment is an important operation in com-putational biology. Both dynamic programming and...
Abstract. Sequence alignment is a central problem in bioinformatics. The classical dynamic programmi...
Abstract Sequence alignment is a central problem in bioinformatics. The classical dynamic programmin...
The Constrained Multiple Sequence Alignment problem is to align a set of sequences subject to a give...
Retrieval and comparative editing/modeling of motion data require temporal alignment. In other words...
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular...
We present a novel technique for improving a fundamental aspect of iterated dynamic programming proc...