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    CVPR
    2009
    IEEE
    450views Computer Vision» more  CVPR 2009»
    Learning color and locality cues for moving object detection and segmentation
    15 years 3 months ago
    Learning color and locality cues for moving object detection and segmentation
    Download  pages.cs.wisc.edu
    This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
    Feng Liu (University of Wisconsin-Madison), Michae...
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    SDM
    2009
    SIAM
    291views Data Mining» more  SDM 2009»
    Detection and Characterization of Anomalies in Multivariate Time Series.
    14 years 5 months ago
    Detection and Characterization of Anomalies in Multivariate Time Series.
    Download  www.siam.org
    Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
    Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
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    SDM
    2009
    SIAM
    167views Data Mining» more  SDM 2009»
    Detecting Communities in Social Networks Using Max-Min Modularity.
    14 years 5 months ago
    Detecting Communities in Social Networks Using Max-Min Modularity.
    Download  www.siam.org
    Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
    Jiyang Chen, Osmar R. Zaïane, Randy Goebel
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    IROS
    2009
    IEEE
    188views Robotics» more  IROS 2009»
    Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
    14 years 3 months ago
    Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
    Download  robolab.unex.es
    Abstract— This paper describes an efficient method for retrieving the 3-dimensional shape associated to novelties in the environment of an autonomous robot, which is equipped wi...
    Pedro Núñez Trujillo, Paulo Drews, R...
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    NIPS
    2004
    128views Information Technology» more  NIPS 2004»
    Detecting Significant Multidimensional Spatial Clusters
    13 years 10 months ago
    Detecting Significant Multidimensional Spatial Clusters
    Download  books.nips.cc
    Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
    Daniel B. Neill, Andrew W. Moore, Francisco Pereir...
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