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141
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ISAMI
2010
15 years 16 days ago
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Sérgio A. D. Deusdado, Paulo Carvalho
114
Voted
ICIP
1999
IEEE
16 years 4 months ago
Video Sequence Learning and Recognition Via Dynamic Som
Information contained in the video sequences is crucial for an autonomous robot or a computer to learn and respond to its surrounding environment. In the past, robot vision is mai...
Qiong Liu, Yong Rui, Thomas S. Huang, Stephen E. L...
APLAS
2009
ACM
15 years 9 months ago
A Short Cut to Optimal Sequences
We propose a method for easily developing efficient programs for finding optimal sequences, such as the maximum weighted sequence of a set of feasible ones. We formalize a way to ...
Akimasa Morihata
98
Voted
ICCSA
2004
Springer
15 years 8 months ago
A Sequence-Focused Parallelisation of EMBOSS on a Cluster of Workstations
Abstract. A number of individual bioinformatics applications (particularly BLAST and other sequence searching methods) have recently been implemented over clusters of workstations ...
Karl Podesta, Martin Crane, Heather J. Ruskin
CGI
2004
IEEE
15 years 6 months ago
Probabilistic Motion Sequence Generation
Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based ...
Mirko Sattler, Ralf Sarlette, Reinhard Klein