Selective ensemble is a learning paradigm that follows an “overproduce and choose”
strategy, where a number of candidate classifiers are trained, and a set of several classifiers …

Experiments were carried out to investigate the possibility of training cellular automata (CA)
to perform several image processing tasks. Even if only binary images are considered, the …

In this paper, we introduce a new Random Forest (RF) induction algorithm called Dynamic
Random Forest (DRF) which is based on an adaptative tree induction procedure. The main …

In this paper we present a study on the random forest (RF) family of ensemble methods. In a
ldquoclassicalrdquo RF induction process a fixed number of randomized decision trees are …

Handling superfluous and insignificant features in high-dimension data sets incidents led to
a long-term demand for system anomaly detection. Ignoring such elements with spectral …

Aflatoxin is a highly toxic and carcinogenic substance with fluorescence characteristic. To
explore the feasibility of detection the degree of aflatoxin contamination using hyperspectral …

摘要训练集中通常含有大量相似的样本, 会增加网络的训练时间并影响学习效果. 针对这一问题,
本文将最近邻法(Nearest neighbor, NN) 简单快捷和神经网络高精度的特点相结合 …

Cellular Automata (CA) is a dynamic system with discrete time and spatial neighborhood
structure which, if tuned properly, can automate image processing to a great extent and tune …

摘要针对多分类器系统设计中最优子集选择效率低下, 集成方法缺乏灵活性等问题,
提出了分类器的动态选择与循环集成方法(Dynamic selection and circulating combination …

This work proposes the use of pseudo-color cochleagram image of sound signals for feature
extraction for robust acoustic event recognition. A cochleagram is a variation of the …