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Honeine, Paul

  1. High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
    2020/11/16 by Rosana El Jurdi, Jurdi, Rosana El, Caroline Petitjean +7 · 4 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Medical Imaging and Analysis
  2. Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
    2020/03/26 by Muhammet Balcılar, Balcilar, Muhammet, Guillaume Renton +9 · 4 citations
    Computer Science · Physics and Astronomy · #68T05 #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #I.5.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
  3. Entropy of Overcomplete Kernel Dictionaries
    2014/11/01 by Paul Honeiné, Paul Honeine, Honeine, Paul · 1 citation
    Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques #cs.CV #cs.IT #cs.LG #cs.NE #math.IT #stat.ML
  4. Maximum Correntropy Unscented Filter
    2016/08/26 by Badong Chen, Liu, Xi, Bin Xu +6 · 1 citation
    Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Structural Health Monitoring Techniques #Target Tracking and Data Fusion in Sensor Networks
  5. An eigenanalysis of data centering in machine learning
    2014/07/10 by Paul Honeine, Paul Honeiné, Honeine, Paul · 1 citation
    Computer Science · Mathematics · #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Spectral Theory (math.SP) #Statistics Theory (math.ST) #cs.CV #cs.LG #math.SP #math.ST #stat.ML #stat.TH