Driving direction prediction can be useful in different applications such as driver warning and route recommendation. In this paper, a framework is proposed to predict the driving direction based on weighted Markov model. First the city POI (Point of Interesting) map is generated from trajectory data using weighted PageRank algorithm. Then, a weighted Markov model is trained for the near term d...

In this research, a hybrid approach by combining Self-Organizing Map (SOM) and Evolving Fuzzy Case-Based Reasoning (EFCBR) for flow time prediction is proposed. Genetic Algorithms (GAs) is applied to fine-tune the fuzzy term numbers and weights of fuzzy features in the CBR model. The flow time and related shop floor status are collected and fed into the SOM for classification. Then, correspondi...

In computer vision saliency detection comprises wide range of methods to detect salient object present in the image. These methods focus how important object can be detect from the image. Results of these methods are fully dependent upon the type and quality of input image. In this paper saliency detection methods, Fixation prediction models, saliency map generated through various saliency dete...

Environmental observations are usually sampled in irregularly spaced points even though the information we need must be, in most cases, continuous and representative of continuous phenomena. To create the thematic map, the stochastic approach is often the best interpolating method to apply. One of the advantages of the application of this theory consists in making available not only a predictio...

Among different approaches to predict the 3D structure of a protein, one important idea is to predict a protein residueresidue contact map and then construct a full 3D structure from the contact-map. Instead of building a structure purely from contacts information, here we describe a contactassisted structure prediction approach that uses only a few known contacts to improve the quality of alre...

Among different approaches to predict the 3D structure of a protein, one important idea is to predict a protein residueresidue contact map and then construct a full 3D structure from the contact-map. Instead of building a structure purely from contacts information, here we describe a contactassisted structure prediction approach that uses only a few known contacts to improve the quality of alre...

Prediction of protein contact map is of great importance since it can facilitate and improve the prediction of protein 3D structure. However, the prediction accuracy is notoriously known to be rather low. In this paper, a consensus contact map prediction method called LRcon is developed, which combines the prediction results from several complementary predictors by using a logistic regression m...

Saliency map samples for eye fixation prediction are shown in Fig 1-2; saliency map samples for salient object detection are shown in Fig 3-7. A model of saliency-based visual attention for rapid scene analysis.