— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
This paper reviews model-based methods for non-rigid shape recognition. These methods model, match and classify non-rigid shapes, which are generally problematic for conventationa...
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...
Low-connectivity and full-coverage three dimensional Wireless Sensor Networks (WSNs) have many real-world applications. By low connectivity, we mean there are at least k disjoint ...
Xiaole Bai, Chuanlin Zhang, Dong Xuan, Jin Teng, W...
Design patterns aim at improving reusability and variability of object-oriented software. Despite a notable success, aspect-oriented programming (AOP) has been discussed recently ...