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» Structure recognition on sequences with a neuro-fuzzy-system
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BMCBI
2004
114views more  BMCBI 2004»
13 years 8 months ago
Analysis of superfamily specific profile-profile recognition accuracy
Background: Annotation of sequences that share little similarity to sequences of known function remains a major obstacle in genome annotation. Some of the best methods of detectin...
James A. Casbon, Mansoor A. S. Saqi
SIBGRAPI
2007
IEEE
14 years 2 months ago
Graph-based Object Tracking Using Structural Pattern Recognition
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Ana Beatriz V. Graciano, Roberto Marcondes Cesar J...
PAMI
2011
12 years 11 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
JAIR
2010
132views more  JAIR 2010»
13 years 7 months ago
Using Local Alignments for Relation Recognition
This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we ...
Sophia Katrenko, Pieter W. Adriaans, Maarten van S...
BMCBI
2008
154views more  BMCBI 2008»
13 years 8 months ago
Sequence based residue depth prediction using evolutionary information and predicted secondary structure
Background: Residue depth allows determining how deeply a given residue is buried, in contrast to the solvent accessibility that differentiates between buried and solvent-exposed ...
Hua Zhang, Tuo Zhang, Ke Chen 0003, Shiyi Shen, Ji...