Open Set Recognition (OSR) extends image classification to an open-world setting, by simultaneously classifying known classes and identifying unknown ones. While conventional OSR approaches can detect Out-of-Distribution (OOD) samples, they cannot provide explanations indicating which underlying visual ...
Evaluating some real-life engineering complex problems such as urban mobility governance are very awkward and complicated under the consideration of classical information, certain individuals have used different types of technique for managing ambiguous and unreliable information such as pattern recognition, ...
Under a Creative Commons license open accessHighlights Abstract The underwater acoustic target recognition via passive sonar can extract the features of target attribute from the ship radiated noise to complete the recognition task. The underwater acoustic target is characterized by a variety of attribu...
Finally, the outperforms of the MADM or MAGDM method is demonstrated through distinct examples with the existing methods [8], [21], [23], [25], [37], [39], [40] to refine the recognition of the approach. The remainder of the paper is designed as follows. Some preliminaries related ...
(1) SNet and TSNets are pretrained on face recogni- tion task on the training set of CelebA, referred to as FR; (2) SNet and TSNets are trained from scratch; (3) SNet is pretrained on face recognition task while each TSNet is pretrained on the attribute prediction task within the ...
AUTOMATIC speech recognitionSpeech-based emotion recognition is still challenging due to its complexity despite being widely used in applications relating to emotions. In this paper, we developed a framework by considering three features: Prosodic features, Wavelet, and Spectral features. Unde...
To demonstrate the validity of the proposed method, numerical examples related to pattern recognition and multi-criteria decision making are presented, which displays the advantages and feasibility.doi:10.1007/s00521-017-3101-xMishra, Arunodaya Raj...
A novel parameter similarity measure between interval-valued picture fuzzy sets with its application in pattern recognition J. Intell. Fuzzy Syst. (2023), pp. 1-27 Google Scholar [18] M. Keshavarz-Ghorabaee, M. Amiri, E.K. Zavadskas, Z. Turskis, J. Antucheviciene Determination of ...
Also, there is a wide scope to enhance the theory to the different kinds of fuzzy sets such as neutrosophic set, m-polar set, Pythagorean set, etc., [53,54,55,56,57]. Moreover, we shall discuss the applications of these notions in the different fields, such as pattern recognition, ...
If the value of 𝑘𝑖ki is bigger, the degree of recognition for its corresponding attribute will be lower [23,24]. 3.3. Decision-Making Steps In regard to the above problem, the specific steps of the risky multi-attribute decision-making method based on the interval number of normal ...