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» The complexity of stochastic sequences
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PERCOM
2003
ACM
15 years 5 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
CSB
2004
IEEE
208views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures
Motivation: Since the whole genome sequences for many species are currently available, computational predictions of RNA secondary structures and computational identifications of t...
Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara
ECCV
1996
Springer
16 years 1 months ago
Learning Dynamics of Complex Motions from Image Sequences
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...
90
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ICIP
1998
IEEE
16 years 1 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
ICML
2009
IEEE
16 years 17 days ago
Learning complex motions by sequencing simpler motion templates
Gerhard Neumann, Wolfgang Maass, Jan Peters