This paper presents a new method to detect pedestrian in still image using Sigma sets as image region descriptors in the boosting framework. Sigma set encodes second order statistics of an image region implicitly in t...
详细信息
Learning to rank is designed to determine a ranking for the target objects according to some rule. Specifically, the problem about learning to rank is to learn a ranking function from a training set whose data has bee...
详细信息
ISBN:
(纸本)9787894631046
Learning to rank is designed to determine a ranking for the target objects according to some rule. Specifically, the problem about learning to rank is to learn a ranking function from a training set whose data has been ranked. It is most applied to the social sciences and information retrieval. Learning to rank is a hot issue in the field of information retrieval and machine learning at present. This paper analyses the process of Ranking Support Vector machine (RSVM) from a theoretical point of view from the classification and regression respectively, and sets up the two basic mathematical models about RSVM. The general introduction about RSVM in the application, training speed and generalization ability is also given. In the end, we come to a conclusion.
A hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for Video OCR is presented in this paper. Video OCR is an important task towards enabling automatic content-based retrieval of digital vide...
详细信息
Data indexing is common in data mining when working with high-dimensional, large-scale data sets. Hadoop, a cloud computing project using the MapReduce framework in Java, has become of significant interest in distribu...
详细信息
The content and structure of linked information such as sets of web pages or research paper archives are dynamic and keep on changing. Even though different methods are proposed to exploit both the link structure and ...
详细信息
The global expansion of the Web brings the global computing;and the increasing number of problems with increasing complexity & sophistication also makes collaboration desirable. In this paper, we presented a seman...
详细信息
Big tree is a hierarchical data model for efficiently managing large scale web resources. This paper presents a new type of hierarchical data model, which is inspired by resource space model. Also it could be thought ...
详细信息
Description logics are widely used to express structured data and provide reasoning facility to query and integrate data from different databases. This paper presents a many-sorted description logic MDL to represent r...
详细信息
The dynamic description logic DDL provides a kind of action theories based on description logics (DLs). Compared with another important DL-based action formalism constructed by Baader ***., a shortcoming of DDL is the...
详细信息
The rapid growth in the development of Internet-based information systems increases the demand for natural language interfaces that are easy to set up and maintain. Unfortunately, the problem of deep understanding nat...
详细信息
暂无评论