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[AUDITORY] [2nd] Call for Special Issue "Pattern recognition in multimodal information analysis: observation, extraction, classification, and interpretation" [Pattern Recognition Letters]
- To: AUDITORY@xxxxxxxxxxxxxxx
- Subject: [AUDITORY] [2nd] Call for Special Issue "Pattern recognition in multimodal information analysis: observation, extraction, classification, and interpretation" [Pattern Recognition Letters]
- From: Daniele Salvati <daniele.salvati@xxxxxxxx>
- Date: Sat, 15 Jun 2024 12:52:00 +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.
    
    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