ppxscal/embedding_network huggingface dataset:
Implications of a Novel Family of Stochastic Methods for Function Recovery
Authors: Joseph Kolibal, Daniel Howard
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

We illustrate the use of a novel family of stochastic methods for function recovery and illustrate their applicability to several problems involving one and two dimensional data.
An empirical evaluation of a testing and debugging methodology for Excel
Authors: Jeffrey Carver, Marc Fisher,  II, Gregg Rothermel
Venue: Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering (2006)

Spreadsheets are one of the most commonly used types of programs in the world, and it is important that they be sufficiently dependable. To help end users who create spreadsheets do so more reliably, we have created a testing and debugging methodology and environment for use in spreadsheets, known as the WYSIWYT methodology. Our prior experiments with WYSIWYT show that users can utilize it to ensure that their spreadsheets are more dependable, but these experiments to date have considered only an unfamiliar prototype spreadsheet environment, and have not involved spreadsheet creation tasks. In this work we conducted a controlled experiment that addresses these limitations. The results of this study indicate that the use of WYSIWYT did not affect the correctness of spreadsheets created by users, but it did significantly reduce the amount of effort required to create them. Further, the subjects' evaluation of the help provided by WYSIWYT was very positive. Our results provide several insights into the use of the WYSIWYT methodology by end users.
A Slack Factors Based Real-Time Query Processing Approach in Wireless Sensor Networks
Authors: Fangfang Li, Ge Yu, Xiaochun Yang, Chuanwen Li, Zhibo Feng
Venue: Proceedings of the Seventh International Conference on Web-Age Information Management Workshops (2006)

For mission-critical applications such as emergency monitoring over wireless sensor networks, query deadline must be satisfied. Otherwise, the query results would be useless. Thus, it is better to query the nodes as many as possible within the deadline. On the other hand, the energy consumption should be saved to prolong the life of the network. For this purpose, we propose a slack factor based real-time query processing (SFQ) approach for wireless sensor networks, where a slack factor describes the relationship between the time of query processing and the deadline for a node. Since the data delivery mode between nodes is a key factor for data transmission time and energy consumption, we can choose the optimal data delivery mode by using slack factor so that we can maximize the query coverage as well as minimize the total energy cost. The simulation experimental results show that the SFQ approach is effective to get higher accuracy of query results within deadline with lower energy consumption than other traditional approaches.
IDEA: A Developing Tool of Learning Resources for LMS Environments
Authors: Paolo Casillo, Angelo Chianese, Vincenzo Moscato, Antonio Penta
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

The aim of the IDEA (Instructional DEsigner Applications) is to enhance contents production process making available to the content owners very simple and useful authoring tools for the digitalization, organization and classification of their knowledge. The results of a such process can be seen as prototypes of multimedia courses, obtained with reduced costs and times, that can be directly imported into a generic Learning Management Systems (LMS) or used as startpoint in generating more complex multimedia products. .
Patterns of Behaviour Mediated by Cognitive Scripts and Emotional Attitudes - Context-Aware Engineering of Data Mining Systems
Authors: R Khosla, C Lai, B Chowdhury, Q Li
Venue: Proceedings of the International Workshop on on Integrating AI and Data Mining (2006)

In this paper we outline a seven layer context-aware data mining architecture which combines context, sensemaking (cognitive and affective) and data mining technologies to design adaptive context-aware data mining systems. We particularly show how cognitive constructs and emotional attitudes of a user mediate in interpretation of meaning in hidden patterns. We illustrate the role of cognitive constructs in interpreting a CRM situation by a relationship manager in a banking and finance application. We also illustrate the role of emotional attitudes as an important factor in context-aware interpretation of mined behavioral patterns in a sales recruitment and benchmarking application.
A test of randomness based on the distance between consecutive random number pairs
Authors: Matthew J. Duggan, John H. Drew, Lawrence M. Leemis
Venue: Proceedings of the 37th conference on Winter simulation (2005)

One of the most popular methods of generating "random" numbers for use in a computer program employs a Lehmer random number generator. If constructed properly, these generators will yield streams of numbers that will appear random but can also be easily replicated. However, Marsaglia (1968) discovered a potential flaw in these random number generators, namely, if consecutive n-tuples of the generated numbers are plotted in n-dimensional space, the points may fall into a small number of hyperplanes. In this paper, we compare the theoretical distribution of the distances to the actual distances produced by a specific random number generator in order to devise a statistical test of randomness for the validity of the random number generator.
Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
Authors: Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, Luminita Vese
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (2006)

This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful"correspondences between images, in that they preserve the local geometry of singularities such as region boundaries. At the same time, the shape representation allows enforcing shape information locally in determining such region boundaries. Our representation is based on a kernel descriptor that characterizes local shape. This shape descriptor is robust to noise and forms a scale-space in which an appropriate scale can be chosen depending on the size of features of interest in the scene. In order to preserve local shape during the matching procedure, we introduce a novel constraint to traditional energybased approaches to estimate diffeomorphic deformations, and enforce it in a variational framework.
Opening a university fiber highway between Mexico and the US
Authors: Raúl G. Hazas-Izquierdo, Salvador Castañeda-Ávila, Luis M. Farfán-Molina, Julián Delgado-Jiménez, Daniel García-Gradilla, José L. Rodríguez-Navarro
Venue: Future Generation Computer Systems (2006)

Binational business and cultural exchange between Mexico and the United States can be complemented adequately by an enhanced scientific collaboration. A high-bandwidth optical fiber link between La Jolla, California, USA and Tijuana, Baja California, Mexico is currently shared between the Corporación Universitaria para el Desarrollo de Internet (CUDI), Mexico's Internet 2 initiative, and the Corporation for Education Network Initiatives in California (CENIC). A meteorological computing-intensive parallel application requiring high-bandwidth connectivity would launch collaborations between Mexico's leading science, technology and Internet 2 organizations and associated Mexican universities, and their Californian counterparts. A demonstration grid was set up between the San Diego Supercomputer Center and CICESE, a scientific research facility in Ensenada, Mexico, and weather systems that occur over the western United States and the Baja California peninsula were simulated. Significant savings in computing time have been achieved. A successful implementation of the MM5 meteorological model on this demonstration grid may present an incentive to bring dark fiber to CICESE. With an enhanced connectivity, we expect to provide the means to realize collaborations between groups working on oceanographic, seismic and ecological undertakings in both countries.
Fast Image Motion Computation on an Embedded Computer
Authors: X. Lu, R. Manduchi
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Wireless, battery-powered camera networks are becoming of interest for surveillance and monitoring applications. The computational power of these platforms is often limited in order to reduce energy consumption. Among the visual tasks that the onboard processor may be required to perform, motion analysis is one of the most basic and relevant. Knowledge of the direction of motion and velocity of a moving body may be used to take actions such as sending an alarm or triggering other camera nodes in the network. We present a fast algorithm for identifying moving areas in an image and computing the average velocity in such areas. The algorithm, which was implemented and tested on a Crossbow Stargate embedded platform, is comprised of three stages. First, local differential measurements are used to determine an initial labeling of image blocks. A total least squares approach is proposed, with fast implementation inspired by the work of Benedetti and Perona. Then, belief propagation is used to impose spatial coherence and resolve aperture effect inherent in textureless areas. Finally, the velocity of the resulting blobs is estimated via least squares regression. A detailed analysis of timing and power consumption characteristics of this algorithm is also presented.
College students' understandings of pressurized air movement: do isomorphic questions elicit isomorphic answers?
Authors: Jason L. G. Braasch, Susan R. Goldman
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

College undergraduates' explanations of pressurized air movement for two everyday situations were examined. Responses were categorized into one of five categories on two isomorphic, everyday events (tire pressure, balloons). The two items elicited similar kinds of explanations in the group as a whole, and in individual students. However, the majority of responses were at the least sophisticated levels of explanation. Consistently held simple models may be particularly resistant to instruction aimed at moving thinking forward.
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis
Authors: Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah, William M. Pottenger
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

Anomalous interdomain Border Gateway Protocol (BGP) events including misconfigurations, attacks and large-scale power failures often affect the global routing infrastructure. Thus, the ability to detect and categorize such events is extremely useful. In this article we present a novel anomaly detection technique for BGP that distinguishes between different anomalies in BGP traffic. This technique is termed Higher Order Path Analysis (HOPA) and focuses on the discovery of patterns in higher order paths in supervised learning datasets. Our results demonstrate that not only worm events but also different types of worms as well as blackout events are cleanly separable and can be classified in real time based on our incremental approach. This novel approach to supervised learning has potential applications in cybersecurity/forensics and text/data mining in general.
Intelligent autofilming of lectures based on interpretation of the scene environment and evaluating video footage
Authors: Masaki Onishi, Masashi Murakami, Kunio Fukunaga
Venue: Systems and Computers in Japan (2006)

In this report we propose an intelligent autofilming method as a technique that can be used to film principally blackboard-based lectures automatically, and without human assistance. This method designated the areas to be filmed by interpreting the lecture environment, and, by evaluating the numerous resulting video images, switches to the video images that are ideal for use as lecture images. First, in order for the lecture environment to be interpreted, information pertaining to the lecturer and the matter written on the blackboard is extracted from lecture images that have been shot with a stationary camera, and is used to extrapolate the lecturer's actions. Next, the area to be filmed is determined for each camera based on the lecturer's actions, resulting in footage captured from several camera positions. Last, an assessment is made of each of the numerous clips, based on which the footage that most effectively represents the current lecture environment is selected. We performed an actual experiment in which a lecture was automatically filmed, and confirmed the efficacy of our technique. &copy; 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 37(11): 88&ndash;99, 2006; Published online in Wiley InterScience (). DOI 10.1002&sol;scj.10337
An Example for Synchronized Usage of Different Applications in the Classroom
Authors: Georg Turban, Max Muhlhauser
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

In the given publication an example for synchronized usage of different applications in the classroom is presented. To create a vivid environment for PowerPoint-lead lectures, we combine different interactive displays and force separation of phases of creating new content and augmentation of existing content. We deal with synchronization issues that occur while presented content is stored for later retrieval and content is delivered from different applications. We extend a common presentation environment by a projector and an interactive whiteboard to support a large auditorium. Our setup is economical in terms of development costs. A small application was developed for the interactive whiteboard. The discussion of the presented scenario is based on an evaluation in a class with over 100 computer science students.
Extraction of almost periodic signals using cyclostationarity
Authors: A. V. Dandawate, G. B. Giannakis
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

Extraction of almost periodic signals from their noisy observations is accomplished by exploiting cyclostationarity. The additive noise is allowed to be generally cyclostationary with unknown distribution. Consistency of the proposed estimators is proved and their asymptotic properties are presented. Further, adaptive algorithms are employed for tracking possible time-variations in the parameters of the almost periodic signal. Finally, the proposed methods are tested via simulations.
Optimal supply chain formation using agent negotiation in a SET model-based make-to-order
Authors: Hyun Soo Kim, Jae Hyung Cho, Hyung Rim Choi, Soongoo Hong, Moo Hong Kang
Venue: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet (2006)

In an effort to composite an optimal supply chain, this study has introduced an agent-based negotiation model as a method for assigning a lot of orders to a large number of participants. As a resources allocation mechanism to form strategic cooperation based on information sharing between supply chain members, this agent negotiation model provides such functions as bidding, scheduling, and coordination, allowing all participants to make a profit, and accomplishing a Pareto-optimum solution from the viewpoint of the whole supply chain. SET model-based scheduling takes into consideration both early (earliness) production costs and late (tardiness) production costs, along with the competitive relationship between multiple participants. This study has tried to prove that the result of an agent-based negotiation is a Pareto optimal solution under a dynamic supply chain environment, establishing the mathematical formulation for a performance test, and making a comparison with the heuristic Branch & Bound method.
Incontrol Enterprise Dynamic: defense solutions
Authors: Fred Jansma
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Enterprise Dynamics is used by many defense organizations to model, simulate, visualize and control the rollout of armed forces and materials. wW will show you some applications regarding: resource management for maintenance of equipment during a mission; simulation of the logistic processes and resources needed on a mission. Enterprise Dynamics is the discrete-event platform that supports HLA, virtual reality and training capabilities in one package while offering an open-source simulation environment.
Redesigning the User Interface of the InterLearning Software - Graphic Design Meets Computer Science
Authors: Philippos Pouyioutas, Evripides Zantides, Maria Poveda, Aspasia Papadema
Venue: Proceedings of the conference on Information Visualization (2006)

In this paper we present the redesign of the user interface of the InterLearning software. InterLearning is an in-house developed e-learning software that has been in use for the last 3 years at our College. The software was developed by a team of computer scientists. InterLearning has been evaluated by both students and faculty since its development, in terms of the functionality that it offers. It has subsequently been enhanced based on the feedback of the users. The software has only started to be used by some Design faculty and students this year. Our experience from its use within this Department has revealed the need for redesigning its interface. Both students and faculty have expressed some negative views with regards to the screen layouts, menus, icons, colours, textual representations and fonts used. Based on this feedback, we have redesigned the interface taking also into consideration feedback obtained during the redesign stages from some Design faculty members and Design students. This paper presents the results of the evaluation of the existing interface by faculty members and students and describes the new interface designed by a team of Graphic Designers based on the feedback obtained.
Efficient optimization of support vector machine learning parameters for unbalanced datasets
Authors: Tatjana Eitrich, Bruno Lang
Venue: Journal of Computational and Applied Mathematics (2006)

Support vector machines are powerful kernel methods for classification and regression tasks. If trained optimally, they produce excellent separating hyperplanes. The quality of the training, however, depends not only on the given training data but also on additional learning parameters, which are difficult to adjust, in particular for unbalanced datasets. Traditionally, grid search techniques have been used for determining suitable values for these parameters. In this paper, we propose an automated approach to adjusting the learning parameters using a derivative-free numerical optimizer. To make the optimization process more efficient, a new sensitive quality measure is introduced. Numerical tests with a well-known dataset show that our approach can produce support vector machines that are very well tuned to their classification tasks.
Switched Lightpaths for e-Health Applications: a Feasibility Study
Authors: Lee Momtahan, Andrew Simpson
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

The Exploitation of Switch Lightpaths for e-Science Applications (ESLEA) project is evaluating the feasibility of using switched lightpath networks to support various e- Science applications, with this feasibility being being investigated through a number of case studies. In this paper we report on progress to date with respect to determining how such networks might be utilised to support distributed healthcare applications. In particular, we consider the context of the work undertaken, introduce our use cases, and discuss some of the challenges faced.
A Preliminary Study on Constructing Decision Tree with Gene Expression Programming
Authors: Weihong Wang, Qu Li, Shanshan Han, Hai Lin
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

Gene expression programming (GEP) is a kind of genotype/phenotype based genetic algorithm. Its successful application in classification rules mining has gained wide interest in data mining and evolutionary computation fields. However, current GEP based classifiers represent classification rules in the form of expression tree, which is less meaningful and expressive than decision tree. What's more, these systems adopt one-against-all learning strategy, i.e. to solve a n-class with n runs, each run solving a binary classification task. In this paper, a GEP decision tree(GEPDT) system is presented, the system can construct a decision tree for classification without priori knowledge about the distribution of data, at the same time, GEPDT can solve a n-class problem in a single run, preliminary results show that the performance of GEP based decision tree is comparable to ID3.
Spatial smoothing for arrays with arbitrary geometry
Authors: H. Wang, K. J. R. Liu, H. Anderson
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

The spatial smoothing (SS) technique has been proved to be effective in decorrelating coherent signals thus making MUSIC algorithm operative in a coherent interference environment. However, such scheme can only be applied to uniformly spaced linear arrays which are known to be very sensitive to the directions of arrivals (DOAs) and can be used to estimate azimuth angles only. To significantly improve the robustness of DOA estimation, to estimate both azimuth and elevation angles, we developed techniques for applying SS on arrays with arbitrary geometry. We also study the cause of ambiguities in a multiple signal environment and find the necessary and sufficient conditions of an ambiguity free three-sensor array manifold. We evaluated the forward/backward spatial smoothing on a nonlinear array with central symmetry and found that this technique outperform regular SS in terms of improved efficiency and estimation resolution. Finally, we expand the application of our technique to ESPRIT. All the predicted results are verified by simulations.
SPIDER: a schema mapPIng DEbuggeR
Authors: Bogdan Alexe, Laura Chiticariu, Wang-Chiew Tan
Venue: Proceedings of the 32nd international conference on Very large data bases (2006)

A schema mapping is a high-level declarative specification of how data structured under one schema, called the source schema, is to be transformed into data structured under a possibly different schema, called the target schema. We demonstrate SPIDER, a prototype tool for debugging schema mappings, where the language for specifying schema mappings is based on a widely adopted formalism. We have built SPIDER on top of a data exchange system, Clio, from IBM Almaden Research Center. At the heart of SPIDER is a data-driven facility for understanding a schema mapping through the display of routes. A route essentially describes the relationship between source and target data with the schema mapping. In this demonstration, we showcase our route engine, where we can display one or all routes starting from either source or target data, as well as the intermediary data and schema elements involved. In addition, we demonstrate "standard" debugging features for schema mappings that we have also built, such as computing and exploring routes step-by-step, stopping or pausing the computation with breakpoints, performing "guided" computation of routes by taking human input into account, as well as tracking the state of the target instance during the process of computing routes.