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ESANN
2008
13 years 9 months ago
Conditional prediction of time series using spiral recurrent neural network
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Huaien Gao, Rudolf Sollacher
ICSC
1995
Springer
13 years 11 months ago
Time-Space Weighting for Image Sequence Quantization
Abstract. This paper introduces a method for quantization of imagesequences which takes into account the human sensitivities in both space and time. A weighted clustering approach ...
Hagit Zabrodsky Hel-Or
DAGSTUHL
2003
13 years 9 months ago
Why Timed Sequence Diagrams Require Three-Event Semantics
STAIRS is an approach to the compositional development of sequence diagrams supporting the specification of mandatory as well as potential behavior. In order to express the necess...
Øystein Haugen, Knut Eilif Husa, Ragnhild K...
CPM
2004
Springer
108views Combinatorics» more  CPM 2004»
14 years 29 days ago
Quadratic Time Algorithms for Finding Common Intervals in Two and More Sequences
A popular approach in comparative genomics is to locate groups or clusters of orthologous genes in multiple genomes and to postulate functional association between the genes contai...
Thomas Schmidt, Jens Stoye
DMTCS
2007
49views Mathematics» more  DMTCS 2007»
13 years 7 months ago
Waiting Time Distributions for Pattern Occurrence in a Constrained Sequence
A binary sequence of zeros and ones is called a (d, k)-sequence if it does not contain runs of zeros of length either less than d or greater than k, where d and k are arbitrary, b...
Valery T. Stefanov, Wojciech Szpankowski