ppxscal/embedding_network huggingface dataset:
Multi-view clustering via canonical correlation analysis
Authors: Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, Karthik Sridharan
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by projecting the data into a lower-dimensional subspace, e.g. via Principal Components Analysis (PCA) or random projections, before clustering. Here, we consider constructing such projections using multiple views of the data, via Canonical Correlation Analysis (CCA). Under the assumption that the views are un-correlated given the cluster label, we show that the separation conditions required for the algorithm to be successful are significantly weaker than prior results in the literature. We provide results for mixtures of Gaussians and mixtures of log concave distributions. We also provide empirical support from audio-visual speaker clustering (where we desire the clusters to correspond to speaker ID) and from hierarchical Wikipedia document clustering (where one view is the words in the document and the other is the link structure).
If the State provided free computer literacy, would it find takers? Evidence and propositions from the Akshaya project in India
Authors: Joyojeet Pal
Venue: Information Systems Frontiers (2009)

The Akshaya project from Kerala has been a much discussed case for the community of practitioners and scholars working on technology and development. A unique feature of the project is its state-wide e-literacy goal in which one member of every household was trained in the telecenters set up under Akshaya at public expense. Using a survey of 1,750 households in the experimental area of Malappuram and a comparison group of neighbouring Kozhikode, this work investigates the extent of e-literacy and discusses the performance of service delivery using telecenters. While the question of whether public funds should be spent on projects such as telecenters or e-literacy continues to be an ongoing debate, the evidence here is that even though structural factors such as service delivery mechanisms and publicity make an impact on technology adoption, the overall participation in free e-literacy services among poor households remains low.
A property-based approach for characterizing goals
Authors: Lars Braubach, Alexander Pokahr
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

Goals are an essential attitude of proactive agents described with mentalistic attitudes. Nonetheless, in the literature no well agreed-upon definition of the term goal has arisen so far. In this paper it is argued that a property-based view on goals can help understanding the nature of the goal concept. Therefore, the goal concept is discussed with respect to typical properties, which are associated with the representation and processing of goals. It is discussed, how the well-known PRS architecture and recent extensions deal with these characteristics. As a result, we argue that supporting also long-term goals, which may not (immediately or at all) lead to actions, would enrich the possibilities of the agent developer as also more strategic behavior is expressible.
Plenary lecture 2: advanced classification and regression algorithms
Authors: Dana Simian
Venue: Proceedings of the 10th WSEAS international conference on Mathematics and computers in biology and chemistry (2009)

The aim of this paper is to present and analyzed new classification and regression algorithms and applications of these algorithms for different kind of data. One of the practical applications of our algorithms is in the ecological characterization of different areas. Generally, the task of classification is to find a rule, which based on external observations assigns an object to one of several classes. A classification task supposes the existence of training and testing data given in the form of data instances. Each instance in the training set contains one target value, named class label and several attributes named features. One of the approaches used for solving the problem of binary or multiclass classification is represented by SVM algorithm. SVM models are obtained by convex optimization and are able to learn and generalize in high dimensional input spaces. The goal of SVM is to produce a model which predicts target value of data instances in the testing set which are given only the attributes. A very powerful idea, which can be used not only in SVM algorithms, is the kernel method. Using an appropriate kernel, the data are projected in a space with higher dimension in which they are separable by a hyperplane. Usually simple kernels are used but the real problems require more complex kernels. The kernel substitution can be used to define many other types of learning machines distinct from SVMs. We introduce and analyze multiple kernels based on simple kernels. Our intention was to study the possibility of obtaining nonlinear multiple kernels using simple classifiers and to analyze their performance comparing with other multiple kernels. Therefore we choose, first, for experiments the most common data sets, used in a great number of papers and taken from libsvm website. Second, we used different types of data obtained in the monitoring process of many ecological areas from Romania. In order to take advantage of possible correlations between the outputs to improve the quality of the predictions, we also consider the Support Vector Regression method (SVR). SVR is based on the theory of Support Vector Machines and belongs to the category of reproducing kernel methods. The kernel is viewed as the covariance of a second order Gaussian process. SVR builds a model, f, of the output of a system that depends on a set of factors. One of the problems we confront with, in the ecological characterization of different areas is the quantification of the outputs of our system. In order to apply SVR method, we make a regression analysis for studying the relationships among the outputs of our system.
Streamlining Offload Computing to High Performance Architectures
Authors: Mark Purcell, Owen Callanan, David Gregg
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

Many important scientific, engineering and financial applications can benefit from offloading computation to emerging parallel systems, such as the Cell Broadband EngineTM(Cell/B.E.). However, traditional remote procedure call (RPC) mechanisms require significant investment of time and effort to rewrite applications to use a specific RPC system. As a result, offloading functions to remote systems is not viable for many applications. IBM® Dynamic Application Virtualization TM(DAV) insulates the application developer by automatically generating stub libraries that allow direct calling of remote procedures without application source code modification. In this paper, we describe DAV automates the conversion of client applications to use remote procedure calls. DAV can generate stub libraries for a wide variety of client applications running on a variety of architectures, allowing allows simple and fast remote procedure call enablement of applications with minimum programming effort.
Towards a model execution framework for Eclipse
Authors: Michael Soden, Hajo Eichler
Venue: Proceedings of the 1st Workshop on Behaviour Modelling in Model-Driven Architecture (2009)

The Eclipse Modeling Project (EMP) is one of the most striking foundation for model driven development. With its core frameworks for metamodeling, textual and graphical editors, validation & constraints, transformations, etc. it provides broad support for creation of model driven tooling such as for Domain Specific Languages (DSLs). However, there is currently a lack of support for making models executable by means of operational semantics. This paper outlines the M3Actions, a framework to develop execution semantics for MOF metamodels, which is on the verge of being adopted as basis of a new Eclipse project named Model Execution Framework (MXF). We discuss requirements upon model execution and sketch requirements of a common execution infrastructure.
The redocumentation process of computer mediated activity traces: a general framework
Authors: Leila Yahiaoui, Yannick Prié, Zizette Boufaida
Venue: Proceedings of the 20th ACM conference on Hypertext and hypermedia (2009)

The digital world enables the creation of personalized documents. In this paper we are interested in describing a computer mediated activity by a person throughout a semi-automatic redocumentation process. This process uses traces generated automatically, during a user-system interaction, to assist a person in producing a personalized document describing the traced activity. To support that, a general framework for an authoring tool is proposed through two main phases. During the first phase, an automatic and parameterized transformation is applied on the input activity trace to generate a fragmented document. Each fragment describes one or many observed elements of the modeled trace and relations between fragments are deduced from relations between these elements. The second phase consists in interactive transformations on the intermediate produced document until getting the final hypermedia document. Our authoring tool uses composition of personalized document issues and RST principals to interpret user's choices and to maintain the coherence of the produced document.
TRES: A Decentralized Agent-Based Recommender System to Support B2C Activities
Authors: Domenico Rosaci, Giuseppe M. Sarné
Venue: Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (2009)

The increasing relevance assumed by the E-Commerce in the Web community is attested by the great number of powerful and sophisticated tools developed in the last years to support traders in their commercial activities. In this scenario, recommender systems appear doubtless as a promising solution for supporting both customers' and merchants' activities. In this paper, we propose an agent-based recommender system, called TRES, able to help traders in Business-to-Consumer activities with useful and personalized suggestions based on interests and preferences stored in customers' profiles, adopting a fully decentralized architecture that suitably introduces in the system both scalability and privacy protection.
Understanding workflow in telehealth video visits: Observations from the IDEATel project
Authors: David R. Kaufman, Jenia Pevzner, Martha Rodriguez, James J. Cimino, Susana Ebner, Lesley Fields, Vilma Moreno, Christina McGuiness, Ruth S. Weinstock, Steven Shea, Justin Starren
Venue: Journal of Biomedical Informatics (2009)

Home telemedicine is an emerging healthcare paradigm that has the potential to transform the treatment of chronic illness. The purpose of this paper is to: (1) develop a theoretical and methodological framework for studying workflow in telemediated clinician-patient encounters drawing on a distributed cognition approach and (2) employ the framework in an in-depth analysis of workflow in the IDEATel project, a telemedicine program for older adults with diabetes. The methods employed in this research included (a) videotaped observations of 27 nurse-patient encounters and (b) semi-structured interviews with participants. The analyses were used to provide a descriptive analysis of video visits, understand the mediating role of different technologies and to characterize the ways in which artifacts and representations are used to understand the state of the patient. The study revealed barriers to productive use of telehealth technology as well as adaptations that circumvented such limitations. This research has design implications for: (a) improving the coordination of communication and (b) developing tools that better integrate and display information. Although home telemedicine programs will differ in important respects, there are invariant properties across such systems. Explicating these properties can serve as a needs requirement analysis to develop more effective systems and implementation plans.
Formative evaluation of a didactic software for acquiring problem solving abilities using Prolog
Authors: Pierpaolo Di Bitonto, Teresa Roselli, Veronica Rossano
Venue: Proceedings of the 8th International Conference on Interaction Design and Children (2009)

Informatics has permeated the educational environments at all levels. In Italian primary schools Informatics teachers present the computer and how it works rather than the programming languages. At present, there is a deep debate about the use of programming languages and, in particular, logic programming in the primary school. On the basis of these premises, the paper presents a didactic software, named KidsPro, addressed to pupils attending fifth-grade of primary school. It aims at improving the user problem solving abilities using Prolog. In order to build an effective and efficient software the User-Centred Design approach was used and the paper presents the results of the formative evaluation performed. The results of this pilot study will be used in the further implementation of the software.
Game feature and expertise effects on experienced richness, control and engagement in game play
Authors: Marco C. Rozendaal, David V. Keyson, Huib de Ridder, Peter O. Craig
Venue: AI Society (2009)

The extent to which game play is experienced as engaging is an important criterion for the playability of video games. This study investigates how video games can be designed towards increased levels of experienced engagement over time. For this purpose, two experiments were conducted in which a total of 35 participants repeatedly played a video game. Results indicate that experienced engagement is based on the extent to which the game provides rich experiences as well as by the extent to which the game provides a sense of control. In view of the influence of both game features and players&#x2019; expertise on the levels of experienced richness and control, it is concluded that game features should be modified over time to maintain optimal levels of engagement.
A proposed method for cost estimating for low volume infrequent electronic products
Authors: L. B. Newnes, A. R. Mileham
Venue: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering (2006)

This paper describes current re search in the area of low volume product cost estimating. It examines current cost estimating practices and the problems using these for low volume, infrequent products, such as complex electronic systems. The traditional approaches are described in detail and how the cost estimating relationships are ascertained. The approaches used within sectors such as aerospace, construction and injection moulding are discussed and evaluated. Using the findings from the traditional approaches a proposed method for low volume products is introduced. The paper describes research that has started within this area with a number of partners. The hypothesis are presented which will be evaluated over the next period of research through industrial case studies.
Modeling and simulation of control system based on distributions with water drain process application
Authors: Emil Pop, Monica Leba, Maria Pop, Camelia Tabacaru-Barbu
Venue: Proceedings of the 2nd conference on European computing conference (2008)

In this paper, the elementary distributions are introduced using segments string limit and switch operators, modeled and simulated. Based on this theory and properties of distributions, the principle of nonlinear controller design was presented. In the next part of the paper, a complex nonlinear controller was synthesized, modeled, simulated and applied to control a closed loop water drain process assisted by two pumps. The proposed solution based on distributions solves the complex problem in a robust and simple way. This controller can be easily coded using an adequate microcontroller or an HDL and then downloaded in an ASIC as dedicated embedded solution.
Summarizing user-generated reviews in digital libraries: a visual clustering approach
Authors: Wingyan Chung
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

In this paper, we describe a visual clustering approach to summarizing user-generated reviews of digital library items and services. The approach consists of the steps of sentence extraction, aspect identification, opinion classification, and review summarization. Our work augments existing work by considering non-standard input and by incorporating clustering and visualization in summarization.
An Introduction to the Quantitative, Rational and Scientific Process of Software Development (Part 1)
Authors: Zenya Koono, Hui Chenb, Hassan Abolhassanic
Venue: Proceeding of the 2007 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the sixth SoMeT_07 (2007)

Repetitive decomposing of the objective concept hierarchically, developed for design involves a human intentional activity, ranging from management to physical works. This model proved the empirical rules in Industrial Engineering. In addition to these “design” process characteristics, the “test” process is found to be a defect attenuating process with the attenuation rate of its error rate of the second kind. As these are applicable to any software process, they are very useful.
Quantifying high-resolution impervious surfaces using spectral mixture analysis
Authors: Changshan Wu
Venue: International Journal of Remote Sensing (2009)

Impervious surface distribution and its temporal changes are considered key urbanization indicators and are utilized for analysing urban growth and influences of urbanization on natural environments. Recently, urban impervious surface information was extracted from medium/coarse resolution remote sensing imagery (e.g. Landsat ETM+ and AVHRR) through spectral analytical methods (e.g. spectral mixture analysis (SMA), regression tree, etc.). Few studies, however, have attempted to generate impervious surface information from high resolution remotely sensed imagery (e.g. IKONOS and Quickbird). High resolution images provide detailed information about urban features and are, therefore, more valuable for urban analysis. The improved spatial resolution, however, also brings new challenges when existing spectral analytical methods are applied. In particular, a higher spatial resolution leads to reduced boundary effects and increased within-class variability. Taking Grafton, Wisconsin, USA as a study site, this paper analyses the spectral characteristics of IKONOS imagery and explores the applicability of SMA for impervious surface estimation. Results suggest that with improved spatial resolution, IKONOS imagery contains 40-50% of mixed urban pixels for the study area, and the within-class variability is a severe problem for spectral analysis. To address this problem, this paper proposes two approaches, interior end-member set selection and spectral normalization, for SMA. Analysis of results indicates that these approaches can reasonably reduce the problems associated with boundary effects and within-class variability, therefore generating better impervious surface estimates.
Policy-Driven Mobile Ad hoc Network Management
Authors: Ritu Chadha, Latha Kant
Venue:  (2007)

"This book should be immensely interesting to those trying to decide what MANET research is worth undertaking and why." -J. Christopher Ramming, Program Manager, Defense Advanced Research Projects Agency (DARPA) Strategic Technology Office A thorough, comprehensive treatment of mobile ad hoc network management Mobile ad hoc networking is a hot topic, gaining importance in both commercial and military arenas. Now that the basics in the field have settled and standards are emerging, the time is right for a book on management of these networks. From two experts in the field, Policy-Driven Mobile Ad hoc Network Management provides comprehensive coverage of the management challenges associated with mobile ad hoc networks(MANETs) and includes an in-depth discussion of how policy-based network management can be used for increasing automation in the management of mobile ad hoc networks. This book provides readers with a complete understanding of mobile ad hoc network management and many related topics, including: ?Network management requirements for MANETs, with an emphasis on the differences between the management requirements for MANETs as compared to static, wireline networks ?The use of policies for managing MANETs to increase automation and to tie together management components via policies ?Policy conflict detection and resolution ?Aspects of MANETs that need to be configured and reconfigured at all layers of the protocol stack ?Methodologies for providing survivability in the face of both hard and soft failures in MANETs ?The components of a Quality of Service (QoS) management solution for MANETs based on the widely used Differentiated Services (DiffServ) paradigm ?Important open research issues in the area of MANET management Policy-Driven Mobile Ad hoc Network Management is an ideal resource for professionals, researchers, and advanced graduate students in the field of IP network management who are interested in mobile ad hoc networks.
What patrons want: supporting interaction for novice information seeking scholars
Authors: Fernando Loizides, George R. Buchanan
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

In this paper, we undertake a study of inexperienced information seeking scholars, identifying areas for improvement in their electronic information seeking and document triage process[3]. We propose a software aid, currently under development.
Finding Regions of Interest in Large Scientific Datasets
Authors: Rishi Rakesh Sinha, Marianne Winslett, Kesheng Wu
Venue: Proceedings of the 21st International Conference on Scientific and Statistical Database Management (2009)

Consider a scientific range query, such as find all places in Africa where yesterday the temperature was over 35 degrees and it rained. In theory, one can answer such queries by returning all geographic points that satisfy the query condition. However, in practice, users do not find this low-level answer very useful; instead they require the points to be consolidated into regions, i.e., sets of points that all satisfy the query conditions and are adjacent in the underlying mesh. In this paper, we show that when a high-quality index is used to find the points and a good traditional connected component labeling algorithm is used to build the regions, the cost of consolidating the points into regions dominates range query response time. We then show how to find query result points and consolidate them into regions in expected time that is sublinear in the number of result points. This seemingly miraculous speedup comes from a point lookup phase that uses bitmap indexes and produces a compressed bitmap as the intermediate query result, followed by a region consolidation phase that operates directly on the intermediate query result bitmap and exploits the spatial properties of the underlying mesh to greatly reduce the cost of consolidating the result points into regions. Our experiments with real-world scientific data demonstrate that in practice, our approach to region consolidation is over 10 times faster than a traditional connected component algorithm.