Advances in Neural Networks – ISNN 2014
11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014. Proceedings
Chapter and Conference Paper
The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number of training object samples. However, the samples used by MoC...
Chapter and Conference Paper
RGB-Infrared multi-modal object detection harnesses diverse and complementary information from RGB and infrared images, offering significant advantages in intelligent transportation. The primary challenge lies...
Chapter and Conference Paper
Semantic segmentation is a pixel-level image dense labeling task and plays a core role in autonomous driving. In this regard, how to balance between precision and speed is a frequently-studied issue. In this p...
Chapter and Conference Paper
Landslide is a complex geological natural disaster that brings harm or damage to human beings and their living environment. By strengthening landslide monitoring and forecasting technology, people can avoid or...
Chapter and Conference Paper
A relaxed two-dimensional principal component analysis (R2DPCA) approach is proposed for face recognition. Different to the 2DPCA, 2DPCA-L1 and G2DPCA, the R2DPCA utilizes the label information (if known) of trai...
Chapter and Conference Paper
In this paper, a new type protocol is proposed. Second-order consensus in multi-agent dynamical systems with this protocol is studied using a new analytical method
Chapter and Conference Paper
This paper studies the global stabilization problem for a class of fuzzy inertial neural networks (FINN) with time delays and deals with the FINN directly by non-reduced order method
Chapter and Conference Paper
Usage Control (UCON) model has been considered as the next generation access control model, its distinguishing properties of attribute mutability and decision continuity were more suit for dynamic and open net...
Chapter and Conference Paper
The earliest and the most famous micro-blogging platform is Twitter, which was created in 2006. But in China, Sina Weibo, the latecomer, has become bigger than Twitter and plays a vital role in the social medi...
Chapter and Conference Paper
The reinforced real-time recurrent learning (R-RTRL) algorithm with K-fold cross-validation for recurrent neural networks (RNNs) are applied to forecast multi-step-ahead landslide displacement (K-R-RTRL). The pro...
Chapter and Conference Paper
This paper investigated a class of time-varying systems on time scales. Based on the general theory of time scales, the ultimate boundedness and asymptotic stability of the system is studied. Two examples illu...
Chapter and Conference Paper
Cost-sensitive algorithms have been widely used to solve imbalanced classification problem. However, the misclassification costs are usually determined empirically, leading to uncertain performance. Hence an e...
Chapter and Conference Paper
In this paper, an optimal method based on combination of improved genetic algorithm (IGA) and improved artificial potential field (IAPF) for path planning of mobile robot is proposed. This method consists of t...
Chapter and Conference Paper
Rotation forest (RoF) is an ensemble classifier based on the combination of linear analysis theories and decision tree algorithms. In existing works, the RoF has demonstrated high classification accuracy and g...
Chapter and Conference Paper
In this paper, we intend to formulate a new Cuckoo Search (NCS) for solving optimization problems. This algorithm is based on the obligate brood parasitic behavior of some cuckoo species in combination with th...
Chapter and Conference Paper
Collimation is widely used for X-ray examinations to reduce the overall radiation exposure to the patient and improve the contrast resolution in the region of interest (ROI), that has been exposed directly to ...
Chapter and Conference Paper
In this paper, we propose a first-person localization and navigation system for hel** blind and visually-impaired people navigate in indoor environments. The system consists of a mobile vision front end with...
Chapter and Conference Paper
Still image based activity recognition is a challenging problem due to changes in appearance of persons, articulation in poses, cluttered backgrounds, and absence of temporal features. In this paper, we propos...
Chapter and Conference Paper
To help visually impaired people recognize people in their daily life, a 3D face feature registration approach is proposed with a RGB-D sensor. Compared to 2D face recognition methods, 3D data based approaches...
Book and Conference Proceedings
11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014. Proceedings