Accurate grading of skin disease severity plays a crucial role in precise treatment for
patients. Acne vulgaris, the most common skin disease in adolescence, can be graded by …

Feature selection used for dimensionality reduction of the feature space plays an important
role in multi-label learning where high-dimensional data are involved. Although most …

Label distribution learning (LDL) is a novel learning paradigm that assigns each instance
with a label distribution. Although many specialized LDL algorithms have been proposed …

Some traditional Indian art forms enjoy widespread popularity across the world. One of the
most prominent among these is the Madhubani style. This art form's rich heritage and beauty …

Visual arts consist of various art forms,\eg painting, sculpture, architecture,~\etc, which not
only enrich our lives but also involve works related to aesthetics, history, and culture …

Many aerial images with similar appearances have different but correlated scene labels,
which causes the label ambiguity. Label distribution learning (LDL) can express label …

Emotion distribution learning has gained increasing attention with the tendency to express
emotions through images. As for emotion ambiguity arising from humans' subjectivity …

Art painting evaluation is sophisticated for a novice with no or limited knowledge on art
criticism, and history. In this study, we propose the concept of representativity to evaluate …

One of the greatest challenges for scene classification is the lack of sufficient training
samples. Label distribution learning (LDL) is proven to be effective in handling insufficient …

In order to overcome the problem of low accuracy in the traditional method for style feature
extraction of painting works, this paper proposes a method for style feature extraction of …