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[AUDITORY] [Last Call] Special Issue "Pattern recognition in multimodal information analysis: observation, extraction, classification, and interpretation" [Pattern Recognition Letters]
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- Subject: [AUDITORY] [Last Call] Special Issue "Pattern recognition in multimodal information analysis: observation, extraction, classification, and interpretation" [Pattern Recognition Letters]
- From: Daniele Salvati <daniele.salvati@xxxxxxxx>
- Date: Wed, 4 Sep 2024 18:04:20 +0200
- Approved-by: daniele.salvati@xxxxxxxx
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- Reply-to: Daniele Salvati <daniele.salvati@xxxxxxxx>
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    Dear all,
      
      I cordially invite you to contribute a full research article to
      the Special Issue titled "Pattern recognition in multimodal
        information analysis: observation, extraction, classification,
        and interpretation" for Pattern Recognition Letters.
    Submission Deadline: September 20th, 2024
     In the information age, we grapple with a flood of diverse data
      types like text, images, audio, and video. AI's strides in
      single-modal analysis are notable, but the challenge lies in
      efficiently handling massive multimodal data to enhance machines'
      understanding of the world through pattern recognition.
      Advancements, in this area have led to techniques. For example,
      the use of image matching in scenarios involving modes is crucial
      in diagnostics, remote sensing, and computer vision. Coordinating
      the retrieval of data from modes improves the accuracy of pattern
      recognition while integrating audio video data enhances speech
      recognition and strengthens accident monitoring capabilities. In
      other words, multimodal learning and representation yield
      convincingly better results with confidence. However, there are
      still challenges that need to be addressed, such as handling types
      of data transforming data effectively enhancing datasets and
      ensuring interpretability of models, for processing data. 
    In this context, this special issue outlines recent advances in
      the pattern recognition field, intending to bring together the
      work of scholars in this multidisciplinary subject, drawing on the
      different skills and knowledge of pattern recognition approaches
      applied in the multimodal information analyzing from the
      perspective of observing, extraction, classifying and
      interpretation.
    See the following link for more information: https://www.sciencedirect.com/journal/pattern-recognition-letters/about/call-for-papers#pattern-recognition-in-multimodal-information-analysis-observation-extraction-classification-and-interpretation
    
    Best regards,
    
    Daniele Salvati