An online semi-supervised active learning algorithm is proposed, which is based on self-organizing incremental neural network (SOINN). The proposed method do not need any priori knowledge such as number of nodes or nu...
详细信息
An online semi-supervised active learning algorithm is proposed, which is based on self-organizing incremental neural network (SOINN). The proposed method do not need any priori knowledge such as number of nodes or number of classes; it can automatically learn number of nodes and teacher vectors needed by the current task; It can realize online incremental learning even life-long learning. The experiments for artificial data and real world data show that the proposed method works efficiently.
Recommendation system is one of the most important technologies applied in e-commerce. Similarity measuring method is fundamental to collaborative filtering algorithm, and traditional methods are inefficient especiall...
详细信息
Recommendation system is one of the most important technologies applied in e-commerce. Similarity measuring method is fundamental to collaborative filtering algorithm, and traditional methods are inefficient especially when the user rating data are extremely sparse. Based on the outstanding characteristics of Cloud Model on the process of transforming a qualitative concept to a set of quantitative numerical values, a novel similarity measuring method, namely the likeness comparing method based on cloud model (LICM) is proposed in this paper. LICM compares the similarity of two users on knowledge level, which can overcome the drawback of attributes' strictly matching. This work analysis traditional methods throughly and puts forward a novel collaborative filtering algorithm, which is based on the LICM method. Experiments on typical data set show the excellent performance of the present collaborative filtering algorithm based on LICM, even with extremely sparsity of data.
作者:
Wenle ZhangRobert P. JuddPaul DeeringSchool of Electrical Engineering and Computer Science
Ohio University Athens OH 45701. Dr. Judd has over twenty years of experience as an educator
researcher and consultant in system simulation discrete event controls and systems integration. Dr. Judd has received over thirty research grants totaling over $3500000. His funding has come from both industrial and governmental sources. He is the author or co-author of over a hundred published papers in journals and conferences. He also wrote a book chapter devoted to integrating manufacturing design tools and edited a special issue of the International Journal of Computer Integrated Manufacturing dedicated to intelligent manufacturing systems. Dr. Judd holds a patent on simulation software integration. Russ College of Engineering and Technology
Ohio University Athens OH 45701.
As typical discrete event systems, flexible manufacturing systems have been extensively studied in such aspects as modeling, control and performance analysis. One important topic in the study of such systems is the de...
详细信息
As typical discrete event systems, flexible manufacturing systems have been extensively studied in such aspects as modeling, control and performance analysis. One important topic in the study of such systems is the deadlock detection, prevention and avoidance. In the past decade, two major modeling formalisms, i.e., Petri nets and digraphs, have been adopted for developing deadlock control policies for flexible manufacturing systems. In this paper, the concepts of slack, knot, order and effective free space of circuits in the digraph are established and used to concisely and precisely quantify the sufficient conditions for a system state to be live. Necessary conditions for this liveness is quantified for a special class of system states - called evaluation states. The significance of the result is that the conditions are true for avoiding both primary deadlocks and impending deadlocks that are arbitrary steps away from a primary one, whereas only second level deadlocks have been studied in the literature. Examples are provided to illustrate the method.
Information security and assurance is a rapidly developing area therefore government and industry have high demand for information security professionals. This paper reports collaboration activities between North Caro...
详细信息
Information security and assurance is a rapidly developing area therefore government and industry have high demand for information security professionals. This paper reports collaboration activities between North Carolina A&T State University (NC A&T SU) and University of North Carolina (UNC) Charlotte as well as results and lessons learned. Leveraging the strength of the Department of softwareengineering and Information system at UNC Charlotte the Department of computerscience at NC A&T SU has established the new Information Assurance (IA) concentration undergraduate curriculum. Four new IA courses, five IA interactive simulation software packages and two isolated IA laboratories are developed. Faculty members in both universities have collaborated to manage and mentor the Cyber-Defender programs, host IA and Cyber Security symposiums, submit proposals, advise graduate students and publish papers. The outcome exhibits that the collaboration between the majority and minority universities serves as a pathway for the minority university to build competencies in information assurance, and bridged the widening "information assurance gap" between majority and minority universities.
This paper presents a new topological localization system for mobile robot navigation based on salient visual regions. These salient regions are obtained by computing the opponencies of color and texture among multi-s...
详细信息
This paper describes a data replication service for large-scale, data intensive applications whose results can be shared among geographically distributed scientists. We introduce two kinds of data replication techniqu...
详细信息
One vision of dynamic hardware reconfiguration is to deliver virtually unlimited hardware resources to a set of hardware tasks implementing arbitrary functions. By using partial reconfiguration, these tasks can be all...
详细信息
ISBN:
(纸本)1595933026
One vision of dynamic hardware reconfiguration is to deliver virtually unlimited hardware resources to a set of hardware tasks implementing arbitrary functions. By using partial reconfiguration, these tasks can be allocated and de-allocated on the reconfigurable architecture while others continue to operate. However, the exact placement of each task can only be determined during runtime according to the current resource allocation. This requires relocating each task from its original position after place and route to an area of available resources. The process of relocating tasks can result in a major time overhead. In order to solve this problem we have developed the REPLICA2Pro (Relocation per online Configuration Alteration in Virtex-2/-Pro) filter, which is capable of performing task relocations by manipulating the task's bitstream during the regular allocation process without any extra time overhead. The filter architecture, our reconfigurable system approach as well as our design flow and an experimental system setup are presented in this paper. Copyright 2006 ACM.
This paper presents a new hierarchical method of the edge relaxation by using an edge confidence measure. Proposed method is an adaptive and based on directional hierarchical image decomposition and an edge connecting...
详细信息
This paper presents a new hierarchical method of the edge relaxation by using an edge confidence measure. Proposed method is an adaptive and based on directional hierarchical image decomposition and an edge connecting algorithm. It is shown that such combination has low sensitivity to noise, while it is highly robust to outliers, and provide a quality edge connection mechanism
The purpose of this paper is to introduce a novel image enhancement technique by using directional wavelet transform. Directional wavelet transform decomposes an image into four-dimensional space which augments the im...
详细信息
The purpose of this paper is to introduce a novel image enhancement technique by using directional wavelet transform. Directional wavelet transform decomposes an image into four-dimensional space which augments the image by the scale and directional information. We show the directional information significantly improves image enhancement in noisy images in comparison with the classical techniques. Image enhancement is based on the multiscale singularity detection with an adaptive threshold whose value is calculated via maximum entropy measure. The proposed technique was tested on synthetic images at different signal-to-noise ratios and clinical images
The purpose of this paper is to introduce an novel edge detector using directional wavelet transform and signal registration. Directional wavelet transform decomposes an image into four-dimensional space which augment...
详细信息
The purpose of this paper is to introduce an novel edge detector using directional wavelet transform and signal registration. Directional wavelet transform decomposes an image into four-dimensional space which augments the image by the scale and directional information. We show the directional information significantly improves edge detection in noisy images in comparison with the classical multiscale edge detector, and enables more reliable edge tracing along an object boundary. Edge detection is based on the modulus maximum principle with an adaptive threshold whose value is calculated via maximum entropy measure. Edge tracing is done with signal alignment between neighbour edges
暂无评论