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  1. Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence (IEA/AIE'11)
  2. Multimodal representations, indexing, unexpectedness and proteins
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Classification model for data streams based on similarity
Fault diagnosis in power networks with hybrid Bayesian networks and wavelets
Basic object oriented genetic programming
A global unsupervised data discretization algorithm based on collective correlation coefficient
Automating the selection of stories for AI in the news
Image region segmentation based on color coherence quantization
Factoring web tables
Towards a computational model of the self-attribution of agency
Stairway detection based on single camera by motion stereo
Comparison of artificial neural networks and dynamic principal component analysis for fault diagnosis
Learning temporal Bayesian networks for power plant diagnosis
Inferring border crossing intentions with hidden Markov models
A heuristic data-sanitization approach based on TF-IDF
Diagnosability study of technological systems
Image retrieval algorithm based on enhanced relational graph
Document analysis research in the year 2021
An agent model for computational analysis of mirroring dysfunctioning in autism spectrum disorders
Robot with two ears listens to more than two simultaneous utterances by exploiting harmonic structures
Comparative behaviour of recent incremental and non-incremental clustering methods on text: an extended study
On the fusion of probabilistic networks
A framework for autonomous search in the $Ecl^{i}ps^{e}solver$
Discovering patterns for prognostics: a case study in prognostics of train wheels
Using ensembles of regression trees to monitor lubricating oil quality
Prediction-oriented dimensionality reduction of industrial data sets
Markov logic networks for document layout correction
Multi-modal biometric emotion recognition using classifier ensembles
Multimodal representations, indexing, unexpectedness and proteins
Informative sentence retrieval for domain specific terminologies
Extracting general lists from web documents: a hybrid approach
Towards a fully computational model of web-navigation
A generic approach for mining indirect association rules in data streams
Status quo bias in configuration systems
Improvement and estimation of prediction accuracy of soft sensor models based on time difference
Network defense strategies for maximization of network survivability
PryGuard: a secure distributed authentication protocol for pervasive computing environment

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Multimodal representations, indexing, unexpectedness and proteins

Content Provider ACM Digital Library
Author Paquet, Eric Viktor, Herna L.
Abstract Complex systems, such as proteins, are inherently difficult to describe, analyse and interpret. A multimodal methodology which utilizes various diverse representations is needed to further our understanding of such intrinsically multifaceted systems. This paper presents a multimodal system designed to describe and interpret the content of the Protein Data Bank, a repository which contains tens of thousands of known proteins. We describe how complimentary modalities based on the amino acid sequence, the protein's backbone (or topology) and the envelope (the outer shape), are used when furthering our understanding of proteins' functionalities, behaviours and interactions. We illustrate our methodology against the human haemoglobin and show that the interplay between modalities allows our system to find unexpected, complimentary results with different domains of validity.
Starting Page 85
Ending Page 94
Page Count 10
ISBN 9783642218217
ISSN 03029743
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-06-28
Publisher Place Berlin, Heidelberg
Access Restriction Subscribed
Subject Keyword Retrieval 3d Shape Multimodal Amino acid sequences Unexpectedness Topology Protein Indexing
Content Type Text
Resource Type Article
Subject Theoretical Computer Science Computer Science
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