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    IJCAI
    2007
    176views Artificial Intelligence» more  IJCAI 2007»
    Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
    14 years 17 days ago
    Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
    Download  www.cs.bham.ac.uk
    Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixture...
    Peter Tino, Nikolaos Gianniotis
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    NIPS
    2008
    228views Information Technology» more  NIPS 2008»
    MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
    14 years 17 days ago
    MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
    Download  mi.eng.cam.ac.uk
    We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-c...
    Tae-Kyun Kim, Roberto Cipolla
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    MVA
    2007
    210views Computer Vision» more  MVA 2007»
    Represent Image Contents Using Curves and Chain Code
    14 years 17 days ago
    Represent Image Contents Using Curves and Chain Code
    Download  b2.cvl.iis.u-tokyo.ac.jp
    This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
    Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
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    MVA
    2007
    193views Computer Vision» more  MVA 2007»
    A Video Motion Capture System for Interactive Games
    14 years 17 days ago
    A Video Motion Capture System for Interactive Games
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    This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over pos...
    Ryuzo Okada, Nobuhiro Kondoh, Björn Stenger
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    NIPS
    2007
    165views Information Technology» more  NIPS 2007»
    Expectation Maximization and Posterior Constraints
    14 years 17 days ago
    Expectation Maximization and Posterior Constraints
    Download  www.seas.upenn.edu
    The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
    João Graça, Kuzman Ganchev, Ben Task...
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