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    SDM
    2010
    SIAM
    156views Data Mining» more  SDM 2010»
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    13 years 10 months ago
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    Download  cs.ucla.edu
    We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
    Alireza Vahdatpour, Majid Sarrafzadeh
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    ICMLA
    2007
    104views Machine Learning» more  ICMLA 2007»
    Scalable optimal linear representation for face and object recognition
    13 years 10 months ago
    Scalable optimal linear representation for face and object recognition
    Download  ww2.cs.fsu.edu
    Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
    Yiming Wu, Xiuwen Liu, Washington Mio
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    ICMLA
    2007
    95views Machine Learning» more  ICMLA 2007»
    SVMotif: A Machine Learning Motif Algorithm
    13 years 10 months ago
    SVMotif: A Machine Learning Motif Algorithm
    Download  math.bu.edu
    We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...
    Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles ...
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    ICONIP
    2007
    155views Information Technology» more  ICONIP 2007»
    Sparse Super Symmetric Tensor Factorization
    13 years 10 months ago
    Sparse Super Symmetric Tensor Factorization
    Download  www.bsp.brain.riken.jp
    In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
    Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Sh...
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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
    13 years 10 months 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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