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    ASC
    2008
    160views Artificial Intelligence» more  ASC 2008»
    Dynamic classification for video stream using support vector machine
    13 years 7 months ago
    Dynamic classification for video stream using support vector machine
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    A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
    Mariette Awad, Yuichi Motai
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    WSC
    2008
    156views Modeling And Simulation» more  WSC 2008»
    A modeling-based classification algorithm validated with simulated data
    13 years 9 months ago
    A modeling-based classification algorithm validated with simulated data
    Download  www.informs-sim.org
    We present a Generalized Lotka-Volterra (GLV) based approach for modeling and simulation of supervised inductive learning, and construction of an efficient classification algorith...
    Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 5 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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    EMNLP
    2008
    142views Natural Language Processing» more  EMNLP 2008»
    Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
    13 years 8 months ago
    Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
    Download  www.cs.jhu.edu
    A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
    Omar Zaidan, Jason Eisner
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    ICML
    2000
    IEEE
    204views Machine Learning» more  ICML 2000»
    Hierarchical Unsupervised Learning
    14 years 8 months ago
    Hierarchical Unsupervised Learning
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    We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
    Shivakumar Vaithyanathan, Byron Dom
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