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» Automatic detection of interaction groups
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BMCBI
2005
136views more  BMCBI 2005»
14 years 9 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial
LREC
2008
108views Education» more  LREC 2008»
14 years 11 months ago
Design of a Multimodal Database for Research on Automatic Detection of Severe Apnoea Cases
The aim of this paper is to present the design of a multimodal database suitable for research on new possibilities for automatic diagnosis of patients with severe obstructive slee...
Rubén Fernández Pozo, Luis A. Hern&a...
BIBE
2004
IEEE
115views Bioinformatics» more  BIBE 2004»
15 years 1 months ago
Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets
Current motif discovery methods can only detect individual motifs in groups of protein sequences--they do not discover potentially-interacting motif pairs underlying the interacti...
Soon-Heng Tan, Wing-Kin Sung, See-Kiong Ng
ICPR
2008
IEEE
15 years 10 months ago
Saliency Cuts: An automatic approach to object segmentation
Interactive graph cuts are widely used in object segmentation but with some disadvantages: 1) Manual interactions may cause inaccurate or even incorrect segmentation results and i...
Yu Fu, Jian Cheng, Zhenglong Li, Hanqing Lu
GCC
2005
Springer
15 years 3 months ago
Supporting Remote Collaboration Through Structured Activity Logging
Abstract. This paper describes an integrated architecture for online collaborative multimedia (audio and text) meetings which supports the recording of participants' audio exc...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...