• An Enhanced Texture-Based Feature Extraction Approach for Classification of Biomedical Images of CT-Scan of Lungs 

      Srivastava, Varun; Gupta, Shilp; Chaudhary, Gopal; Balodi, Arun; Khari, Manju; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of popularity in recent times. In the proposed work, a feature vector is obtained by concatenation of features extracted from local mesh ...
    • Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training 

      Suliman, Azizah; Omarov, Batyrkhan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Neural network is widely used for image classification problems, and is proven to be effective with high successful rate. However one of its main challenges is the significant amount of time it takes to train the network. ...
    • Digit Recognition Using Composite Features With Decision Tree Strategy 

      Chen, Chung-Hsing; Huang, Ko-Wei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      At present, check transactions are one of the most common forms of money transfer in the market. The information for check exchange is printed using magnetic ink character recognition (MICR), widely used in the banking ...
    • Learning Models for Semantic Classification of Insufficient Plantar Pressure Images 

      Dey, Nilanjan; Wu, Yao; Wu, Qun; Sherratt, Simon (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
    • Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction 

      Su, Zhan; Yu, Ruiyun; Zou, Shihao; Guo, Bingyang; Cheng, Li (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Human-Object Interaction (HOI) detection focuses on human-centered visual relationship detection, which is a challenging task due to the complexity and diversity of image content. Unlike most recent HOI detection works ...