The success of new scientific areas can be assessed by their potential in contributing to new
theoretical approaches and in applications to real-world problems. Complex networks have …

A core question in cognitive science concerns how humans acquire and represent
knowledge about their environments. To this end, quantitative theories of learning processes …

In this brief, we propose a novel contour-based shape descriptor, called the multiscale
distance matrix, to capture the shape geometry while being invariant to translation, rotation …

Classifying arrhythmias can be a tough task for a human being and automating this task is
highly desirable. Nevertheless fully automatic arrhythmia classification through …

Speeding up the collection and integration of raw botanical observation data is a crucial step
towards a sustainable development of agriculture and the conservation of biodiversity …

Medicinal plants are the main source of traditional Chinese medicine (TCM), which provides
the basic protection of human health. The research and application of medicinal plant …

The identification of plant species mainly depends on the recognition of plant leaf
characteristics. However, most recognition systems show the weak performance on …

In this paper, we propose a novel texture analysis method using the complex network theory.
We investigated how a texture image can be effectively represented, characterized and …

In this paper we introduce a new multiscale shape-based approach for leaf image retrieval.
The leaf is represented by local descriptors associated with margin sample points. Within …

This paper presents a synthesis of ImageCLEF 2013 plant identification task, a system-
oriented testbed dedicated to the evaluation of image-based plant identification …