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    SDM
    2007
    SIAM
    121views Data Mining» more  SDM 2007»
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    13 years 11 months ago
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    Download  siam.org
    We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
    Hichem Frigui, Joshua Caudill
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    SDM
    2007
    SIAM
    146views Data Mining» more  SDM 2007»
    ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
    13 years 11 months ago
    ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
    Download  www.cs.uiuc.edu
    With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
    Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
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    AAAI
    2004
    149views Intelligent Agents» more  AAAI 2004»
    CMRadar: A Personal Assistant Agent for Calendar Management
    13 years 11 months ago
    CMRadar: A Personal Assistant Agent for Calendar Management
    Download  www.ozone.ri.cmu.edu
    Abstract. Personal assistant agents have long promised to automate routine everyday tasks in order to reduce the cognitive load on humans. One such routine task is the management o...
    Pragnesh Jay Modi, Manuela M. Veloso, Stephen F. S...
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    AAAI
    2004
    166views Intelligent Agents» more  AAAI 2004»
    Analogical Path Planning
    13 years 11 months ago
    Analogical Path Planning
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    We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
    Saul Simhon, Gregory Dudek
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    AAAI
    2006
    121views Intelligent Agents» more  AAAI 2006»
    Efficient L1 Regularized Logistic Regression
    13 years 11 months ago
    Efficient L1 Regularized Logistic Regression
    Download  www.stanford.edu
    L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
    Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
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