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SGAI
2007
Springer
16 years 15 days ago
Learning Sets of Sub-Models for Spatio-Temporal Prediction
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
Andrew Bennett, Derek R. Magee
CIBCB
2005
IEEE
16 years 8 hour ago
Predicting Peroxisomal Proteins
— PTS1 proteins are peroxisomal matrix proteins that have a well conserved targeting motif at the C-terminal end. However, this motif is present in many non peroxisomal proteins ...
John Hawkins, Mikael Bodén
CSB
2005
IEEE
192views Bioinformatics» more  CSB 2005»
16 years 6 hour ago
Operon Prediction in Cyanobacteria using Comparative Genomics
In this work, we performed a comprehensive analysis of the genome organization of eight publicly available cyanobacterial genomes and of the extensively studied Escherichia coli K...
Natalia Khuri, Nikhila S. Rao
ICCV
2003
IEEE
15 years 11 months ago
Markov-Based Failure Prediction for Human Motion Analysis
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...
Shiloh L. Dockstader, Nikita S. Imennov, A. Murat ...
3DPVT
2002
IEEE
112views Visualization» more  3DPVT 2002»
15 years 11 months ago
Optimized Compression of Triangle Mesh Geometry Using Prediction Trees
Almost all triangle mesh compression algorithms to date are driven by the mesh connectivity code. The geometry code usually employs a straightforward prediction method applied to ...
Boris Kronrod, Craig Gotsman