In this paper we suggest a new variational Bayesian approach. Variational Expectation-Maximization (VEM) algorithm is proposed in order to estimate a set of hyperparameters modelling distributions of parameters charac...
详细信息
In this paper we present a segmentation technique based on tools from mathematical morphology which can be successfully used for automatic segmentation of diatom images. the proposed method belongs to the class of hyb...
详细信息
the AEC industry is conscious of the potentials arising from the usage of mobile computer systems for streamlining their business processes. Discussions are no longer on whether or not to use a mobile computer solutio...
详细信息
ISBN:
(纸本)9058096246
the AEC industry is conscious of the potentials arising from the usage of mobile computer systems for streamlining their business processes. Discussions are no longer on whether or not to use a mobile computer solution but, rather, on how it should be used. From early developed mobile applications, context-sensitivity was defined as a crucial feature to be taken into account. though each working situation might be different, the process of designing the appropriate process definition as well as appropriate mobile applications, including its GUls, is principally the same. It is on this premise that the authors propose the use of the pattern-based paradigm for the development process and for the realization of well-proven solutions. the pattern-based paradigm is well established in the field of computer science. It is used to support the design of software systems. this approach can be extended to develop an implantation strategy for mobile computer solutions. this paper describes the specific restrictions and requirements of the AEC domain. Based on results of previous research work, the authors illustrate the development of patterns to support the development of mobile computer solutions in the AEC industry.
the nearest-neighbor based document skew detection methods do not require the presence of a predominant text area, and are not subject to skew angle limitation. However, the accuracy of these methods is not perfect in...
详细信息
In this paper, we propose a directional wavelet approach to remove images of interfering strokes coming from the back of a historical handwritten document due to seeping of ink during long period of storage. Our previ...
详细信息
this paper focuses on how to perform unsupervised learning of tree structures in an information theoretic setting. the approach is a purely structural one and is designed to work with representations where the corresp...
详细信息
Worldwide, 30% - 40% of women and 13% of men suffer from osteoporotic fractures of the bone, particularly the older people. Doctors in the hospitals need to manually inspect a large number of x-ray images to identify ...
详细信息
A class of enhancement techniques is proposed for images in arbitrary dimension D. they are free from either space/frequency (scale) or grey references. there are two subclasses. One subclass is the chain: {Negative L...
详细信息
this paper has put forward a way to select and extract visual features effectively for lipreading. these features come from both lowlevel and high-level, those are compensatory each other. there are 41 dimensional fea...
详细信息
We propose a general mobility model based on region splitting and mapping each subregion on a multi-server node. By using the theory of multi-class Jackson queueing network with multiserver nodes and employing the pro...
详细信息
We propose a general mobility model based on region splitting and mapping each subregion on a multi-server node. By using the theory of multi-class Jackson queueing network with multiserver nodes and employing the product-form solution for such queueing networks, we obtain an analytical form for the spatial traffic distribution in a typical region with specific number of users. To this end, we consider the spatial statistical pattern for new and handoff call arrivals and the ratio between these two types of arrivals. At last, we apply our new model to some simple mobility scenarios and compute the resultant active user's location densities.
暂无评论