Pattern Recognition Workshop 2023

Workshop Description

The Pattern Recognition Workshop 2023, held in January 2023 in Graz, provides a platform for presentation and discussion of research and current projects in the fields of pattern recognition, machine learning, and computer vision. The aim is to bring together researchers and students working on interdisciplinary topics for discussion and establishing potential collaborations.

General topics of interest include but are not limited to:

• Active learning, interactive machine learning, and human-in-the-loop
• Embedded and mobile computer vision / machine learning
• (Bio-)Medical image analysis
• Object/scene detection, recognition, and categorization
• Pattern analysis (visual and non-visual data)
• Robot vision and embedded intelligence
• Sensors and information fusion
• Statistical methods and machine learning
• Video analysis and event recognition

Paper Submission

We solicit full papers (8 pages) of original, unpublished work. Paper lengths include references. All submitted papers will undergo a double-blind peer review process by the program committee. The papers need to be submitted via

https://cmt3.research.microsoft.com/PRW2023

following the format given in the official template (LaTex and Word). For camera ready submission, please use the camera-ready flag.

Important Dates

• Paper registration: November 25, 2022
• Paper submission deadline: December 30, 2022
• Review submission: January 13, 2023
• Notification of acceptance: January 15, 2023
• Final papers due: January 27, 2023
• Workshop in Graz: January 25, 2023

Programme

January 25, 2023

• 16:00: Session 1
  • Opening
  • 6 talks (8 minutes)
  • Panel discussion
  • Break
• 17:00: Session 2
  • 5 talks (8 minutes)
  • Panel discussion
  • Closing

Update: Due to unpredictable restrictions the workshop format will change from in-person to a fully online event and the starting time will change to 18:00.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.