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ECAI
2000
Springer
14 years 2 months ago
Activity Recognition from Video Sequences using Declarative Models
Abstract. We propose here a new approach for video sequence interpretation based on declarative models of activities. The aim of the video sequence interpretation is to recognize i...
Nathanaël Rota, Monique Thonnat
EMMCVPR
1999
Springer
14 years 2 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
RECOMB
2006
Springer
14 years 10 months ago
Inferring Positional Homologs with Common Intervals of Sequences
Inferring orthologous and paralogous genes is an important problem in whole genomes comparisons, both for functional or evolutionary studies. In this paper, we introduce a new appr...
Guillaume Blin, Annie Chateau, Cedric Chauve, Yann...
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
14 years 4 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
IDA
2009
Springer
14 years 4 months ago
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
Francisco Martínez-Álvarez, Alicia T...