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    IJCV
    2007
    196views more  IJCV 2007»
    Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
    14 years 10 months ago
    Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
    Download  people.csail.mit.edu
    We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
    Robert Fergus, Pietro Perona, Andrew Zisserman
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    IJNSEC
    2007
    194views more  IJNSEC 2007»
    Covert Channel Forensics on the Internet: Issues, Approaches, and Experiences
    14 years 10 months ago
    Covert Channel Forensics on the Internet: Issues, Approaches, and Experiences
    Download  ijns.femto.com.tw
    The exponential growth of the Internet (WWW in particular) has opened-up several avenues for covert channel communication. Steganographic communication is one such avenue. Hiding ...
    Ashish Patel, M. Shah, Rajarathnam Chandramouli, K...
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    TCSV
    2008
    291views more  TCSV 2008»
    A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
    14 years 10 months ago
    A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
    Download  www.irisa.fr
    Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
    Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
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    TIP
    2008
    116views more  TIP 2008»
    Self-Repelling Snakes for Topology-Preserving Segmentation Models
    14 years 10 months ago
    Self-Repelling Snakes for Topology-Preserving Segmentation Models
    Download  www.math.ucla.edu
    The implicit framework of the level-set method has several advantages when tracking propagating fronts. Indeed, the evolving contour is embedded in a higher dimensional level-set f...
    Carole Le Guyader, Luminita A. Vese
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    TIP
    2008
    125views more  TIP 2008»
    Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
    14 years 10 months ago
    Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
    Download  www.iro.umontreal.ca
    Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
    Max Mignotte
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