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AIIA
2007
Springer
16 years 16 days ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
MDAI
2007
Springer
16 years 14 days ago
Mining Frequent Diamond Episodes from Event Sequences
In this paper, we introduce a diamond episode of the form s1 → E → s2, where s1 and s2 are events and E is a set of events. The diamond episode s1 → E → s2 means that every...
Takashi Katoh, Kouichi Hirata, Masateru Harao
IPPS
2003
IEEE
15 years 11 months ago
Sequence Alignment on the Cray MTA-2
The standard algorithm for alignment of DNA sequences using dynamic programming has been implemented on the Cray MTA-2 (Multithreaded Architecture-2) at ENRI (Electronic Navigatio...
Shahid H. Bokhari, Jon R. Sauer
ITCC
2003
IEEE
15 years 11 months ago
Estimation Of Motion From A Sequence Of Images Using Spherical Projective Geometry
: Motion is an important cue for many applications. Here we propose a solution for estimating motion from a sequence of images using three algorithms, viz., Batch, Recursive and Bo...
Madasu Hanmandlu, Shantaram Vasikarla, Vamsi Krish...
ACCV
2006
Springer
15 years 10 months ago
Double Regularized Bayesian Estimation for Blur Identification in Video Sequences
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
Hongwei Zheng, Olaf Hellwich