Computational intelligence and neuroscience
Jul 2, 2015
Low-rank matrix is desired in many machine learning and computer vision problems. Most of the recent studies use the nuclear norm as a convex surrogate of the rank operator. However, all singular values are simply added together by the nuclear norm, ...
Medical & biological engineering & computing
Jun 25, 2015
Prolonged diabetes retinopathy leads to diabetes maculopathy, which causes gradual and irreversible loss of vision. It is important for physicians to have a decision system that detects the early symptoms of the disease. This can be achieved by build...
Neural networks : the official journal of the International Neural Network Society
Jun 19, 2015
Discriminative clustering is an unsupervised learning framework which introduces the discriminative learning rule of supervised classification into clustering. The underlying assumption is that a good partition (clustering) of the data should yield h...
The abundance of real-world data and limited labeling budget calls for active learning, an important learning paradigm for reducing human labeling efforts. Many recently developed active learning algorithms consider both uncertainty and representativ...
Neural networks : the official journal of the International Neural Network Society
Jun 15, 2015
Locality preserving measurement criterion is frequently used for assessing the quality of features. However, locality preserving criterion based unsupervised feature selection algorithms have two widely acknowledged weaknesses: (1) The performance of...
IEEE transactions on neural networks and learning systems
Jun 9, 2015
Self-organizing map (SOM)-based motif mining, despite being a promising approach for problem solving, mostly fails to offer a consistent interpretation of clusters with respect to the mixed composition of signal and noise in the nodes. The main reaso...
Neural networks : the official journal of the International Neural Network Society
Jun 5, 2015
In this study, we propose a hybrid method of face recognition by using face region information extracted from the detected face region. In the preprocessing part, we develop a hybrid approach based on the Active Shape Model (ASM) and the Principal Co...
Computational intelligence and neuroscience
May 31, 2015
Mobile implementation is a current trend in biometric design. This paper proposes a new approach to palm print recognition, in which smart phones are used to capture palm print images at a distance. A touchless system was developed because of public ...
Computational intelligence and neuroscience
May 27, 2015
A novel semisupervised extreme learning machine (ELM) with clustering discrimination manifold regularization (CDMR) framework named CDMR-ELM is proposed for semisupervised classification. By using unsupervised fuzzy clustering method, CDMR framework ...
Many text mining applications in the biomedical domain benefit from automatic clustering of relational phrases into synonymous groups, since it alleviates the problem of spurious mismatches caused by the diversity of natural language expressions. Mos...