in developing countries, the domination of peripheral and dependent capitalism relations and the lack of appropriate structures and channels of attracting, this system have caused some kind of spatial-anatomic unbalances that has resulted in the appearance of single cities with national and regional prevalence. this situation is the main reason for small, medium and intermediate cities to lose ...

We provide a framework for hierarchical specification called Hierarchical Decision Process Petri Nets (HDPPNs). It is an extension of Decision Process Petri Nets (DPPNs) including a hierarchical decomposition process that generates less complex nets with equivalent behavior. As a result, the complexity of the analysis for a sophisticated system is drastically reduced. In the HDPPN, we represent...

Timeline summarization aims at generating concise summaries and giving readers a faster and better access to understand the evolution of news. It is a new challenge which combines salience ranking problem with novelty detection. Previous researches in this field seldom explore the evolutionary pattern of topics such as birth, splitting, merging, developing and death. In this paper, we develop a...

Given a set of sequential data in an unsupervised setting, we often aim to infer meaningful states present in the data along with characteristics that describe and distinguish those states. For example, in a speaker diarization (or who-spoke-when) problem, we are given a single audio recording of a meeting and wish to infer the number of speakers present, when they speak, and some characteristi...

We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are learned from data using a simple and efficient EM algorithm. This step is nonparametric, in that it does not require a parametric form of covariance function. In a second step, kernel functions are fitted to approximate...

The hierarchical Dirichlet process (HDP) can provide a nonparametric prior for a mixture model with grouped data, where mixture components are shared across groups. However, the computational cost is generally very high in terms of both time and space complexity. Therefore, developing a method for fast inference of HDP remains a challenge. In this paper, we assume a symmetric multiprocessing (S...

Business process is collection of standardized and structured tasks inducing value creation of a company. Nowadays, it is recognized as one of significant intangible business assets to achieve competitive advantages. We introduce a novel approach to business process analysis, which has more and more significance as process-aware information systems are spreading widely over a lot of companies. ...

The challenges of computational electronics are considered from the perspective of process simulation. Essential limitations for device scaling posed from a technology point of view are discussed along with many new research opportunities. The key areas considered include: bulk processing, interconnect technology and software engineering for computational electronics.