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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>
- Sender: AUDITORY - Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx>
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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