ppxscal/embedding_network huggingface dataset:
Automatic Subspace Synthesis of Motion Styles Based on Isomap
Authors: Jian Xiang, Hongli Zhu
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence (2008)

Motion synthesis methods based on 3D motion data are extensively studied in recent years. And 3D motion styles synthesis has been rarely explored. In this paper, a method for automatic and quantitative synthesis human motion styles is proposed. First extended ISOMAP theory is used to map original motions into low-dimensionality subspaces, which can reserve the intrinsic properties of original data. Synthesis is applied in such new subspaces and motion styles can be reconstructed. Experimental results show that our methods are effective.
Iterative Workflows for Numerical Simulations in Subsurface Sciences
Authors: Jared Chase, Karen Schuchardt, George Chin, Jr., Jeff Daily, Timothy Scheibe
Venue: Proceedings of the 2008 IEEE Congress on Services - Part I (2008)

Numerical simulators are frequently used to assess future risks, support remediation and monitoring program decisions, and assist in design of specific remedial actions with respect to groundwater contaminants. Due to the complexity of the subsurface environment and uncertainty in the models, many alternative simulations must be performed, each producing data that is typically postprocessed and analyzed before deciding on the next set of simulations. Though parts of the process are readily amenable to automation through scientific workflow tools, the larger “research workflow” is not supported by current tools. We present a detailed use case for subsurface modeling, describe the use case in terms of workflow structure, briefly summarize a prototype that seeks to facilitate the overall modeling process, and discuss the many challenges for building such a comprehensive environment.
Large-Scale Optimization of Non-separable Building-Block Problems
Authors: David Iclănzan, Dumitru Dumitrescu
Venue: Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X (2008)

This paper presents principled results demonstrating how the identification and exploitation of variable dependencies by means of Artificial Neural Network powered online model building, combined with a model based local-search, opens the way towards large-scale optimization of hard, non-separable building-block problems.
Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine
Authors: Bartosz Świderski, Stanisław Osowski, Andrzej Cichocki, Andrzej Rysz
Venue: Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II (2007)

The paper presents the method of predicting the epileptic seizure on the basis of EEG waveform analysis. The Support Vector Machine and the largest Lyapunov exponent characterization of EEG segments are employed to predict the incoming seizure. The results of numerical experiments will be presented and discussed.
Social Networking System for Academic Collaboration
Authors: C. Sousa, P. Martins, Benjamim Fonseca, Hugo Paredes, A. Meehan, T. Devine
Venue: Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering (2008)

A Social Networking System was developed for Academic Collaboration across international Projects. The system was implemented using Java Server Pages. This paper discusses the development of this software, lessons learned and it gives suggestions for further work.
Analysis of Submerged Water Jets by Visualization Method: Flow Pattern and Self-Induced Vibration of Jet
Authors: N. Shimada, H. Hibara, Y. Ishibashi, M. Sumida, K. Sudo
Venue: Journal of Visualization (2004)

This paper is concerned with an experimental investigation on plane submerged water jets discharged into quiescent water in an open channel. Flows are visualized by using hydrogen bubbles, solid particles and dye. The results show that the jets attaching to the water surface by the Coanda effect are classified into six types according to their behavior after issuing from the nozzle, and that the self-induced vibration of the jet, which is one of six flow patterns, occurs under the condition of the reduced Froude number Fr*&efDot; 0.7 &sim;1.0. An additional analysis of the photographs reveals that the self-induced vibration of the jet is caused by attachment of the jet to the water surface and the ensuing bifurcation of the jet at an attachment point, and that the frequency of vibration is independent of the water level.
A Scenario-Based Validation Language for ASMs
Authors: Alessandro Carioni, Angelo Gargantini, Elvinia Riccobene, Patrizia Scandurra
Venue: Proceedings of the 1st international conference on Abstract State Machines, B and Z (2008)

This paper presents the AValLa language, a domain-specific modelling language for scenario-based validation of ASM models, and its supporting tool, the AsmetaV validator. They have been developed according to the model-driven development principles as part of the asmeta (ASM mETAmodelling) toolset, a set of tools around ASMs. As a proof-of-concepts, the paper reports the results of the scenario-based validation for the well-known LIFT control case study.
Spoltech and OGI-22 Baseline Systems for Speech Recognition in Brazilian Portuguese
Authors: Nelson Neto, Patrick Silva, Aldebaro Klautau, Andre Adami
Venue: Proceedings of the 8th international conference on Computational Processing of the Portuguese Language (2008)

Speech processing is a data-driven technology that relies on public corpora and associated resources. In contrast to languages such as English, there are few resources for Brazilian Portuguese (BP). This work describes efforts toward decreasing such gap and presents systems for speech recognition in BP using two public corpora: Spoltech and OGI-22. The following resources are made available: HTK scripts, pronunciation dictionary, language and acoustic models. The work discusses the baseline results obtained with these resources.
Identification of the phase code in an EEG during gripping-force tasks: A possible alternative approach to the development of the brain-computer interfaces
Authors: Vito Logar, Igor Škrjanc, Aleš Belič, Simon Brean, Bla Koritnik, Janez Zidar
Venue: Artificial Intelligence in Medicine (2008)

Background: The subject of brain-computer interfaces (BCIs) represents a vast and still mainly undiscovered land, but perhaps the most interesting part of BCIs is trying to understand the information exchange and coding in the brain itself. According to some recent reports, the phase characteristics of the signals play an important role in the information transfer and coding. The mechanism of phase shifts, regarding the information processing, is also known as the phase coding of information. Objective: The authors would like to show that electroencephalographic (EEG) signals, measured during the performance of different gripping-force control tasks, carry enough information for the successful prediction of the gripping force, as applied by the subjects, when using a methodology based on the phase demodulation of EEG data. Since the presented methodology is non-invasive it could be used as an alternative approach for the development of BCIs. Materials and methods: In order to predict the gripping force from the EEG signals we used a methodology that uses subsequent signal processing methods: simplistic filtering methods, for extracting the appropriate brain rhythm; principal component analysis, for achieving the linear independence and detecting the source of the signal; and the phase-demodulation method, for extracting the phase-coded information about the gripping force. A fuzzy inference system is then used to predict the gripping force from the processed EEG data. Results: The proposed methodology has clearly demonstrated that EEG signals carry enough information for a successful prediction of the subject's performance. Moreover, a cross-validation showed that information about the gripping force is encoded in a very similar way between the subjects tested. As for the development of BCIs, considering the computational time to pre-process the data and train the fuzzy model, a real-time online analysis would be possible if the real-time non-causal limitations of the methodology could be overcome. Conclusion: The study has shown that phase coding in the human brain is a possible mechanism for information coding or transfer during visuo-motor tasks, while the phase-coded content about the gripping forces can be successfully extracted using the phase-demodulation approach. Since the methodology has proven to be appropriate for the case of this study it could also be used as an alternative approach for the development of BCIs for similar tasks.
GeoParsing Web Queries
Authors: Rocio Guillén
Venue: Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers (2008)

In this paper we present preliminary results for a pattern-based approach to parse web-based queries. The approach is designed to identify and categorize queries that include a geographical reference. Due to the ungrammaticality, multilinguality and ambiguity of the language in the 800,000 web-based queries in the collection, we started by building a list of all the different words in the queries, similar to creating an index. Next, a lookup of the words was done in a list of countries to identify potential locations. Because many locations were missed, we further analyzed the queries looking for spatial prepositions and syntactic cues. Queries were processed by combining search in gazetteers with a set of patterns. Categorization was also based on patterns. Results were low in terms of recall and precision mainly because the set of patterns is incomplete. Further statistical analysis and application of machine learning techniques is likely to improve performance. Error analysis of the results is discussed in detail.
Privacy Management for Medical Service Application Using Mobile Phone Collaborated with RFID Reader
Authors: Byunggil Lee, Howon Kim
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

The RFID and sensor network based ubiquitous computing has great potential in medical and healthcare services. Most of medical accidents around patients are depended on misidentification of patient or medical articles. The accidents can be reduced, if information about the patient is managed automatically. In this aspect, the mobile device with RFID reader is useful device as a medical assistant. However, the security and privacy problem relatedRFID application has become a serious issue in realservice environment. In this paper, we propose acustomized policy based privacy managementarchitecture for medical and healthcare application. The proposed mechanism is a useful solution for usercentric privacy management in medical environment.
When Similar Problems Don't Have Similar Solutions
Authors: Stewart Massie, Susan Craw, Nirmalie Wiratunga
Venue: Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2007)

The performance of a Case-Based Reasoning system relies on the integrity of its case base but in real life applications the available data used to construct the case base invariably contains erroneous, noisy cases. Automated removal of these noisy cases can improve system accuracy. In addition, error rates for nearest neighbour classifiers can often be reduced by removing cases to give smoother decision boundaries between classes. In this paper we argue that the optimal level of boundary smoothing is domain dependent and, therefore, our approach to error reduction reacts to the characteristics of the domain to set an appropriate level of smoothing. We present a novel, yet transparent algorithm, Threshold Error Reduction, which identifies and removes noisy and boundary cases with the aid of a local complexity measure. Evaluation results confirm it to be superior to benchmark algorithms.
An integrated approach for validating micro mechanical systems based on simulation and test
Authors: Albert Albers, Tobias Deigendesch, Hans-Georg Enkler, Stefan Hauser, Pablo Leslabay, Jochen Oerding
Venue: Microsystem Technologies (2008)

Miniaturization of macroscopic mechanical systems enables the opening of new areas of application for micro technological systems. Because of technological restrictions, especially when applying miniaturized conventional manufacturing techniques, shape and material deviations cannot be scaled down in the same dimension like micro parts. Thus, the long-term objective is to ensure the functioning by appropriate design measures. In doing so, determination of the transfer behavior by modeling and simulation is required. This work presents two ways for ensuring the required properties of micro gears and describes how the results do correlate. The experimental way uses the radial composite inspection as it is used in the macroscopic world. The simulative way deploys a rolling simulation by utilization of finite element analysis. The virtual prototypes are originated on measured real test gears. When comparing experiment and simulation of the rolling behavior, in some short and long wave areas deviations can be recognized. These can be ascribed to the reduction from three to two dimensions when modeling. Other deviations might be based on inaccuracies when mounting into the test rig. In other areas quite good correlations of test and simulation could be ascertained.
Contrast Sensitivity in Mammographic Softcopy Reading --- Determination with Psychophysical Procedures
Authors: Dörte Apelt, Heinz-Otto Peitgen
Venue: Proceedings of the 9th international workshop on Digital Mammography (2008)

We introduce a new approach for determining the contrast sensitivity function (CSF) in front of the anatomical noise of mammograms. This permits fundamental investigations on the influence of viewing conditions and image presentation parameters on the perception of contrast. A Gabor pattern and digits are used as target items. The approximation to contrast thresholds is done by a psychophysical staircase procedure and is performed for a selection of spatial frequencies. The results of an observer study with different mammographic cases show, that the approach is applicable independent of the chosen images. For conditions with a duration of at least 3 to 4 minutes the CSF can be determined for a set of spatial frequencies.
Flexible Immune Network Recognition System for Mining Heterogeneous Data
Authors: Mazidah Puteh, Abdul Razak Hamdan, Khairuddin Omar, Azuraliza Abu Bakar
Venue: Proceedings of the 7th international conference on Artificial Immune Systems (2008)

Artificial Immune System (AIS) is an emerging technique for the classification task and proved to be a reliable technique. In previous studies, many classifiers including AIS classifiers require the data to be in numerical or categorical data types prior to processing. The transformation of data into any other specific types from their original form can degrade the originality of the data and consume more space and pre processing time. This paper introduces AIS model using immune network for classifying heterogeneous data in its original types. The model is able to process the data with the types as represented in the database and it solves some bias problems highlighted in the AIS review papers. To ensure the consistent conditions and fair comparison, the selected existing algorithms use the same set of data as used in the proposed model. Experimental results show that this network-based model produces a better accuracy rate than the existing population-based immune algorithm and than the standard classifiers on most of the data from University of California, Irvive (UCI) Machine Learning Repository (MLR) and University of California, Riverside (UCR) Time Series Data (TSR).
A search agent for a Max-2sat memetic algorithm approach
Authors: Markus Borschbach, Andre Exeler
Venue: Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science (2008)

Various algorithms have been suggested for the Max-SAT problem. The solution for the Max-2SAT is the starting point for a selection of these approximation algorithms. This paper aims at introducing approaches for Max-2SAT by a brief review of the basic ideas. Moreover, a memetic algorithm for Max-2SAT problems based on a specific crossover operator and an improved tabu search stage is presented. Simulation performed on several instances of Max-2SAT reference problems are used to evaluate the different memetic algorithm strategies applied in our approach. The overall performance is verified by empirical simulation and is used to compare the developed approach to other state up-to-date and of the art algorithms.
Evaluation Protocol for Localization Metrics
Authors: Baptiste Hemery, Hélène Laurent, Christophe Rosenberger, Bruno Emile
Venue: Proceedings of the 3rd international conference on Image and Signal Processing (2008)

Localization metrics permit to quantify the correctness of object detection in an image interpretation result. This paper deals with the definition of a protocol in order to evaluate the behavior of localization metrics. We first define some properties that metrics should verify and create a synthetic database that enables to verify those properties on different metrics. After presenting the tested localization metrics, the results obtained following the proposed protocol are exposed. Finally, some conclusions and perspectives are given.
Combining Interface Agents and Situated Agents for Deploying Adaptive Web Applications
Authors: Andrea Bonomi, Marcello Sarini, Giuseppe Vizzari
Venue: Engineering Environment-Mediated Multi-Agent Systems: International Workshop, EEMMAS 2007, Dresden, Germany, October 5, 2007. Selected Revised and Invited Papers (2008)

A web site presents a graph---like spatial structure composed of pages connected by hyperlinks. This structure may represent an environment in which situated agents associated to visitors of the web site (user agents) are positioned and moved in order to monitor their navigation. This paper presents a heterogeneous multi-agent system supporting the collection of information related to user's behaviour in a web site by specific situated reactive user agents. The acquired information is then exploited by interface agents supporting advanced adaptive functionalities based on the history of user's movement in the web site environment. Interface agents also interact with user agents to acquire information on other visitors of the web site and to support a context aware form of interaction among web site visitors.
Data reduction and exact algorithms for clique cover
Authors: Jens Gramm, Jiong Guo, Falk Hüffner, Rolf Niedermeier
Venue: Journal of Experimental Algorithmics (JEA) (2009)

To cover the edges of a graph with a minimum number of cliques is an NP-hard problem with many applications. For this problem we develop efficient and effective polynomial-time data reduction rules that, combined with a search tree algorithm, allow for exact problem solutions in competitive time. This is confirmed by experiments with real-world and synthetic data. Moreover, we prove the fixed-parameter tractability of covering edges by cliques.
`You Can't Do That in a Classroom!': How Distributed Learning Can Assist in the Widespread Adoption of Hybrid Learning Strategies
Authors: Cath Ellis
Venue: Proceedings of the 1st international conference on Hybrid Learning and Education (2008)

Achieving the widespread adoption of Hybrid Learning in Higher Education is desirable but difficult and to accomplish this requires significant institutional change. This paper suggests that this kind of change can be achieved by the strategic harnessing of Distributed Learning opportunities. It takes as its main point of focus the lecture which, despite significant advances in communication and information technology still prevails as a dominant teaching and learning strategy in Higher Education. It suggests that using screencasting to deliver lectures in a Distributed Learning context can trigger the kind of widespread change required.
Evaluation of OCL for Large-Scale Modelling: A Different View of the Mondex Purse
Authors: Emine G. Aydal, Richard F. Paige, Jim Woodcock
Venue: Models in Software Engineering: Workshops and Symposia at MoDELS 2007, Nashville, TN, USA, September 30 - October 5, 2007, Reports and Revised Selected Papers (2008)

OCL is used to add rigour to UML/MOF models, and in particular can be used to express behavioural details (e.g., operation pre- and postconditions, class invariants) of such models. The applicability and utility of OCL can be assessed by applying it to realistic applications and by investigating its capabilities both in terms of language characteristics and tool support. With this in mind, in this paper we model functional requirements for the Mondex Smart Card Application using UML Diagrams, demonstrate how system invariants as well as operation pre- and post-conditions are specified in OCL, and explore the degree to which OCL tool support can be used to create and validate these models. Moreover, we discuss how these pre- and post-conditions can be validated, in part by discussing how test cases can be selected from the OCL specifications created.
Radar Recognition through Statistical Classification of Cellular Emission in the Moment Space
Authors: Nelson Chávez, Angel L. González
Venue: Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications (2008)

A method is presented for radar target rescognition, using the moments of the parameters of the scattered or emitted signals for classification. Large size samples of signal parameters, formed by signals emitted by each of the resolution cells of the searching region, are used to obtain a determined number of normal distributed moments which represent statistical features of the cellular emissions. Taking these moments as components a classification vector is obtained in the moment space. Classification process is carried out assigning every cell of the searching region to one of the previously determined classes during an adaptive process, where the border limiting each class is determined accordingly Neyman - Pearson criterion. The larger size samples, the lower the classification error, which makes possible the distinction of processes very similarly to each other.
Modeling Dynamics of Relative Trust of Competitive Information Agents
Authors: Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
Venue: Proceedings of the 12th international workshop on Cooperative Information Agents XII (2008)

In order for personal assistant agents in an ambient intelligence context to provide good recommendations, or pro-actively support humans in task allocation, a good model of what the human prefers is essential. One aspect that can be considered to tailor this support to the preferences of humans is trust. This measurement of trust should incorporate the notion of relativeness since a personal assistant agent typically has a choice of advising substitutable options. In this paper such a model for relative trust is presented, whereby a number of parameters can be set that represent characteristics of a human.
A distance approximating trees
Authors: Vojtech Bálint
Venue: Discrete Applied Mathematics (2008)

A 1-approximation of connected graph G=(V,E) is a tree T=(V,E^') with the same vertex set such that for every two vertices |d"G(u,v)-d"T(u,v)|=