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This paper presents a method to automatically estimate parameters for density-based clustering based on data distribution. It also includes several techniques for visualizing the clusters over a map, useful for interactive data exploration. The proposed method enables parameter estimation to automatically adapt to multiple resolutions, allowing the clusters to be recomputed and visualized interactively...
Properties of discrete sets formed as an intersection of a convex polytope and a sphere (polyhedral-spherical sets, (PSS)), functions on such sets, and their applications in unconstrained combinatorial optimization are studied. One of the main features is an existence of differentiable convex extensions of objective functions, allowing to design exact and approximate algorithms based on polyhedral,...
As smartphones are going universal, the quantity of downloaded applications is rocketing. How to classify applications by page has been the major concern facing users. However, most cellphone-related designs are at the service of young generations, ignoring middle-aged groups who use cellphones at increasingly higher frequencies. This study, through literature review, focused on three paging styles...
We develop T2API, a context-sensitive, graph-based statisticaltranslation approach that takes as input an English description of aprogramming task and synthesizes the corresponding API code templatefor the task. We train T2API to statistically learn the alignmentsbetween English and APIs and determine the relevant API elements. Thetraining is done on StackOverflow, which is a bilingual corpus onwhich...
Feature-oriented software development (FOSD) has recently emerged as a promising approach for developing a collection of similar software products from a shared set of software assets. A well-recognized issue in FOSD is the analysis of feature interactions: cases where the integration of multiple features would alter the behavior of one or several of them. Existing approaches to detecting feature...
Given a current point, a final destination, and visiting data point categories on a trip, a sequenced route query finds the shortest route which meets the query condition. Several algorithms have been proposed targeting to this query. When this query is used in real applications, the popularity of the visiting points (for example, restaurant, shopping center, etc.) in a trip are also important besides...
While wearable devices have been the buzzword inthese days, they are still in the infant market stage. Thoughdemand for wearable devices has skyrocketed, the early abandonmentof devices become an important issue. Many studiesexamine the usage of wearable devices with user survey. However,it is essential to look at the real behavior of wearable users howand why wearable users enjoy or abandon devices...
In this paper we mainly introduce a method for mathematical formula script and type identification based on handcrafted features. Arabic/Latin scripts are discriminated by detecting specific symbols based on their pixel density and distribution. Once the formula script identified, we proposed to separate between machine-printed and handwritten formulas. For that, we analyzed the spaces between some...
Car automation and surveillance is an escalating trend in this decade. Smart Vehicle security is becoming an indispensable need as it makes it easier for the owners to ensure their automobile's safety wirelessly. The core elements in our system consists of a mini central processing unit, motion detecting sensor accompanied with a camera module and buzzer. Our security network can be used to monitor...
Authorship analysis deals with the identification of authors which is a problem of text data mining and classification. There are numerous techniques and algorithms that have been published so far, in the field of stylometry. In this regard, the primary objective of the present review is to provide the status of the different studies carried out on authorship analysis based on the important research...
Recruiters evaluate and filter job seekers, ranking them on various criteria. This includes how much of the required and desired requirements are satisfied, ensuring the candidate is the “best match” to vacancy. However, most vacancies do not classify the set of skills as required and desired explicitly. Required skills are those skills a job seeker must have in order to be considered for the job...
Extreme Learning machines (ELM) and Support Vector Machines have become two of the most widely used machine learning techniques for both classification and regression problems of recent. However the comparison of both ELM and SVM for classification and regression problems has often caught the attention of several researchers. In this work, an attempt has been made at investigating how SVM and ELM...
Cyberphysical systems exhibit both continuous and discrete dynamics due to the interaction among physical, digital, and computing components. For example, power systems with switching components have variables that evolve continuously according to classical circuit laws and jump when switches occur. Also, mechanical systems with parts that collide with other parts or with their environment, typically...
Social networks have become a vital mechanism to disseminate information to friends and colleagues. But the dynamic nature of information and user connectivity within these networks raised many new and challenging research problems. One of them is the query-related topic search in social networks. In this work, we investigate the important problem of the personalized influential topic search. There...
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