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CIBCB
2005
IEEE
14 years 4 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
IPPS
2007
IEEE
14 years 4 months ago
Reconfigurable Architecture for Biological Sequence Comparison in Reduced Memory Space
DNA sequence alignment is a very important problem in bioinformatics. The algorithm proposed by Smith-Waterman (SW) is an exact method that obtains optimal local alignments in qua...
Azzedine Boukerche, Jan Mendonca Correa, Alba Cris...
WABI
2007
Springer
139views Bioinformatics» more  WABI 2007»
14 years 4 months ago
Computability of Models for Sequence Assembly
Graph-theoretic models have come to the forefront as some of the most powerful and practical methods for sequence assembly. Simultaneously, the computational hardness of the underl...
Paul Medvedev, Konstantinos Georgiou, Gene Myers, ...
VLSISP
1998
161views more  VLSISP 1998»
13 years 10 months ago
Automatic Recognition of Human Walking in Monocular Image Sequences
Abstract. In numerous content-based video applications, it is important to extract from a video sequence a representation for humans in motion. This task is di cult, because humans...
Jia-Ching Cheng, José M. F. Moura
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
14 years 12 months ago
Declarative Querying for Biological Sequences
The ongoing revolution in life sciences research is producing vast amounts of genetic and proteomic sequence data. Scientists want to pose increasingly complex queries on this dat...
Sandeep Tata, Jignesh M. Patel, James S. Friedman,...