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The problem of data skewness, class imbalance, data scarcity and noise limits the application of machine learning and deep learning models in applications like anomaly detection, fraud detection, intrusion detection, fault diagnosis, machine-to-machine communication, etc. Performance of...
In recent days' research, deep learning methods have shown promising performance in various fields of computer vision, including content-based image retrieval (CBIR). In this paper, an improved version of Darknet-53, called GroupNormalized-Inception-Darknet-53 (GN-Inception-Darknet-53), is...
One of the most fundamental challenges in computer vision is pedestrian detection since it involves both the classification and localization of pedestrians at a location. To achieve real-time pedestrian detection without having any loss in detection accuracy, an Optimized MobileNet + SSD network...
The cold-start problem is a grand challenge in music recommender systems aiming to provide users with a better and continuous music listening experience. When a new user creates a playlist, the recommender system remains in a cold-start state until enough information is collected to identify the...
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