ppxscal/embedding_network huggingface dataset:
Toward an Automatic Code Layout Methodology
Authors: Joseph B. Manzano, Ziang Hu, Yi Jiang, Ge Gan, Hyo-Jung Song, Jung-Gyu Park
Venue: Proceedings of the 3rd international workshop on OpenMP: A Practical Programming Model for the Multi-Core Era (2007)

This paper presents a study on an automatic code layout methodology for multi core architectures with explicit memory hierarchies. Code layout techniques are employed to run large programs on such systems. This study shows the effects of different buffer schemes and replacement policies on a set of benchmarks. These schemes are considered to be more flexible than current approaches. Moreover, these schemes can be used as a foundation to build frameworks for high level parallel programming models in such multi core architectures. The current work has been implemented in IBM's Cell Broadband Engine, but it can be extended to similar architectures.
Navigation among movable obstacles
Authors: James J. Kuffner
Venue:  (2007)

Robots would be much more useful if they could move obstacles out of the way. Traditional motion planning searches for collision free paths from a start to a goal. However, real world search and rescue, construction, home and nursing home domains contain debris, materials clutter, doors and objects that need to be moved by the robot. Theoretically, one can represent all possible interactions between the robot and movable objects as a huge search. We present methods that simplify the problem and make Navigation Among Movable Obstacles (NAMO) a practical challenge that can be addressed with current computers. This thesis gives a full development cycle from motion planning to implementation on a humanoid robot. First, we devise a state space decomposition strategy that reasons about free space connectivity to select objects and identify helpful displacements. Second, we present controls for balance and manipulation that allow the robot to move objects with previously unknown dynamics. Finally, we combine these results in a complete system that recognizes environment objects and executes Navigation Among Movable Obstacles. Our continued work in NAMO planning has focused on three topics: reasoning about object interaction, three dimensional manipulation and interaction with constrained objects. This thesis presents the computational and theoretical challenges that arise from these elaborations of the NAMO domain. In each case we introduce extensions to our algorithms that respond to the challenge and evaluate their performance in simulation. All the methods presented in this thesis not only solve previously unsolved problems but also operate efficiently, giving real-time results that can be used during online operation.
Reproducibility-Optimized Test Statistic for Ranking Genes in Microarray Studies
Authors: Laura L. Elo, Sanna Filen, Riitta Lahesmaa, Tero Aittokallio
Venue: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) (2008)

A principal goal of microarray studies is to identify the genes showing differential expression under distinct conditions. In such studies, the selection of an optimal test statistic is a crucial challenge, which depends on the type and amount of data under analysis. While previous studies on simulated or spike-in datasets do not provide practical guidance on how to choose the best method for a given real dataset, we introduce an enhanced reproducibility-optimization procedure, which enables the selection of a suitable gene- anking statistic directly from the data. In comparison with existing ranking methods, the reproducibilityoptimized statistic shows good performance consistently under various simulated conditions and on Affymetrix spike-in dataset. Further, the feasibility of the novel statistic is confirmed in a practical research setting using data from an in-house cDNA microarray study of asthma-related gene expression changes. These results suggest that the procedure facilitates the selection of an appropriate test statistic for a given dataset without relying on a priori assumptions, which may bias the findings and their interpretation. Moreover, the general reproducibilityoptimization procedure is not limited to detecting differential expression only but could be extended to a wide range of other applications as well.
The Future of Text-Meaning in Computational Linguistics
Authors: Graeme Hirst
Venue: Proceedings of the 11th international conference on Text, Speech and Dialogue (2008)

Writer-based and reader-based views of text-meaning are reflected by the respective questions "What is the author trying to tell me?" and "What does this text mean to me personally?" Contemporary computational linguistics, however, generally takes neither view. But this is not adequate for the development of sophisticated applications such as intelligence gathering and question answering. I discuss different views of text-meaning from the perspective of the needs of computational text analysis and the collaborative repair of misunderstanding.
I Know What I Did Last Summer: Autobiographic Memory in Synthetic Characters
Authors: João Dias, Wan Ching Ho, Thurid Vogt, Nathalie Beeckman, Ana Paiva, Elisabeth André
Venue: Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction (2007)

According to traditional animators, the art of building believable characters resides in the ability to successfully portray a character's behaviour as the result of its internal emotions, intentions and thoughts. Following this direction, we want our agents to be able to explicitly talk about their internal thoughts and report their personal past experiences. In order to achieve it, we look at a specific type of episodic long term memory. This paper describes the integration of Autobiographic Memory into FAtiMA, an emotional agent architecture that generates emotions from a subjective appraisal of events.
New research directions for data and knowledge engineering: A philosophy of language approach
Authors: Andrew Basden, Heinz K. Klein
Venue: Data Knowledge Engineering (2008)

This article advances a strategic proposal that would enable future research in data/knowledge engineering and natural language processing to take a broader range of meanings into account than can be derived from analyzing text with current methods focusing on syntactic and semantic text meanings. It advocates drawing on the knowledge and common sense meanings that users acquire from NL interactions in their lifeworld, i.e. the 'life-meanings' that are created and shared in social communities. Three philosophical language perspectives are described to derive a research program for incorporating life-meaning based methods into contemporary DKE/NLP research.
Psychoacoustic Manipulation of the Sound-Induced Illusory Flash
Authors: Sonia Wilkie, Catherine Stevens, Roger Dean
Venue: Computer Music Modeling and Retrieval. Sense of Sounds: 4th International Symposium, CMMR 2007, Copenhagen, Denmark, August 27-31, 2007. Revised Papers (2008)

Psychological research on cross-modal auditory-visual perception has focused on the manipulation of sensory information predominantly by visual information. There are relatively few studies of the way auditory stimuli may affect other sensory information.The Sound-induced Illusory Flash is one illusory paradigm that involves the auditory system biasing other senses. However, little is known about the cross-modal illusion. More research is needed into the structure of the illusion that investigates the different conditions under which the Sound-induced Illusory Flash manifests and is enhanced or reduced.The experiment reported here investigates the effect of new auditory stimulus variables on the Sound-induced Illusory Flash. The variables to be discussed concern forming a contrast in the auditory stimulus to emphasise the illusory percept. The auditory contrasts used were single pitched beeps versus those alternating in pitch by an octave, and the presentation of sound monaurally versus binaurally.The ultimate aim is to develop the illusory effect as a basis for new intermedia techniques and creative applications for the temporal manipulation and spatialisation of visual objects.
Bulgarian, Hungarian and Czech Stemming Using YASS
Authors: Prasenjit Majumder, Mandar Mitra, Dipasree Pal
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)

This is the second year in a row we are participating in CLEF. Our aim is to test the performance of a statistical stemmer on various languages. For CLEF 2006, we tried the stemmer on French [1]; while for CLEF 2007, we did experiments for the Hungarian, Bulgarian and Czech monolingual tasks. We find that, for all languages, YASS produces significant improvements over the baseline (unstemmed) runs. The performance of YASS is also found to be comparable to that of other available stemmers for all the three east European Languages.
Component reuse in electronic services development
Authors: Costas Vassilakis, George Lepouras
Venue: Journal of Computational Methods in Sciences and Engineering (2006)

In the context of electronic government, e-services are a valuable instrument for offering high quality services to enterprises and individual citizens alike. While developing an e-service, it is usually possible to reuse elements that have already crafted for other e-services, such as personal detail forms or widgets for collecting social security numbers, decreasing thus both development effort and the time for deployment. A more generic framework for supporting reusability in development of e-services includes the identification of reusable objects, the creation and population of a repository containing such components, and the empowerment of developers with tools allowing for location, retrieval and adaptation of components for suiting their specific tasks. In this paper, we conduct an analysis to recognise e-service component that offer reusability opportunities and we present facilities and methods to enable e-service developers to exploit these opportunities while developing electronic services.
Cooperative Internet-Based Experimentation on Semi-industrial Pilot Plants
Authors: Mieczyslaw Metzger, Grzegorz Polaków
Venue: Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering (2008)

In this work a framework for cooperative experimentation with semi-industrial pilot plants is presented. A software solution designed to support multi-user cooperative experimentation is described, along with the supporting hardware, which was specifically designed for the task. A structure of dual networking is proposed, with horizontal real-time protocol for hardware integration and vertical multi-user access points for human interaction. To avoid potential conflicts between users, prioritisation is performed, as resources available (time, hardware, and data) are limited. An important sub-problem is described in details, i.e. large groups of students splitting into smaller subgroups, collaboratively performing partial experiments in order to achieve solution of problem stated by an instructor. Work and data flows have to be carefully designed to keep control of the collaboration an example of such schedule is provided and described.
An Adaptive and Reactive Management System for Project Coordination
Authors: M. Heller, D. Jäger, C. -A. Krapp, M. Nagl, A. Schleicher, B. Westfechtel, R. Wörzberger
Venue: Collaborative and Distributed Chemical Engineering. From Understanding to Substantial Design Process Support: Results of the IMPROVE Project (2008)

Design processes in chemical engineering are hard to support. In particular, this applies to conceptual design and basic engineering, in which the fundamental decisions concerning the plant design are performed. The design process is highly creative, many design alternatives are explored, and both unexpected and planned feedback occurs frequently. As a consequence, it is inherently difficult to manage design processes, i.e. to coordinate the effort of experts working on tasks such as creation of flowsheets, steady-state and dynamic simulations, etc. On the other hand, proper management is crucial because of the large economic impact of the performed design decisions.We present a management system which takes the difficulties mentioned above into account by supporting the coordination of dynamic design processes. The management system equally covers products, activities, and resources, and their mutual relationships. In addition to local processes, interorganizational design processes are addressed by delegation of subprocesses to subcontractors. The management system may be adapted to an application domain by a process model which defines types of tasks, documents, etc. Furthermore, process evolution is supported with respect to both process model definitions and process model instances; changes may be propagated from definitions to instances and vice versa (round-trip process evolution).
Maximum a posteriori estimation of activation energies that control silicon self-diffusion
Authors: Charlotte T. M. Kwok, Kapil Dev, Edmund G. Seebauer, Richard D. Braatz
Venue: Automatica (Journal of IFAC) (2008)

Self-diffusion in crystalline silicon is controlled by a network of elementary steps whose activation energies are important to know in a variety of applications in microelectronic fabrication. The present work employs maximum a posteriori (MAP) estimation to improve existing values for these activation energies, based on self-diffusion data collected at different values of the loss rates for interstitial atoms to the surface. Parameter sensitivity analysis shows that for high surface loss fluxes, the energy for exchange between an interstitial and the lattice plays the leading role in determining the shape of diffusion profiles. At low surface loss fluxes, the dissociation energy of large-atom clusters plays a more important role. Subsequent MAP analysis provides significantly improved values for these parameters.
Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT
Authors: Razvan Ioan Ionasec, Bogdan Georgescu, Eva Gassner, Sebastian Vogt, Oliver Kutter, Michael Scheuering, Nassir Navab, Dorin Comaniciu
Venue: Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I (2008)

Aortic valve disease is an important cardio-vascular disorder, which affects 2.5% of the global population and often requires elaborate clinical management. Experts agree that visual and quantitative evaluation of the valve, crucial throughout the clinical workflow, is currently limited to 2D imaging which can potentially yield inaccurate measurements. In this paper, we propose a novel approach for morphological and functional quantification of the aortic valve based on a 4D model estimated from computed tomography data. A physiological model of the aortic valve, capable to express large shape variations, is generated using parametric splines together with anatomically-driven topological and geometrical constraints. Recent advances in discriminative learning and incremental searching methods allow rapid estimation of the model parameters from 4D Cardiac CT specifically for each patient. The proposed approach enables precise valve evaluation with model-based dynamic measurements and advanced visualization. Extensive experiments and initial clinical validation demonstrate the efficiency and accuracy of the proposed approach. To the best of our knowledge this is the first time such a patient specific 4D aortic valve model is proposed.
The Relationship of Performance Models to Data
Authors: Murray Woodside
Venue: Proceedings of the SPEC international workshop on Performance Evaluation: Metrics, Models and Benchmarks (2008)

Performance engineering of software could benefit from a closer integration of the use of performance models, and the use of measured data. Models can contribute to early warning of problems, exploration of solutions, and scalability evaluation, and when they are fitted to data they can summarize the data as a special powerful form of fitted function. Present industrial practice virtually ignores models, because of the effort to create them, and concern about how well they fit the system when it is implemented. The first concern is being met by automated generation from software specifications. The second concern can be met by fitting the models to data as it becomes available. This will adapt the model to the new situation and validate it, in a single step. The present paper summarizes the fitting process, using standard tools of nonlinear regression analysis, and shows it in action on examples of queueing and extended queueing models. The examples are a background for a discussion about the relationship between the models, and measurement data.
A Subspace Method Based on Data Generation Model with Class Information
Authors: Minkook Cho, Dongwoo Yoon, Hyeyoung Park
Venue: Neural Information Processing: 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I (2007)

Subspace methods have been used widely for reduction capacity of memory or complexity of system and increasing classification performances in pattern recognition and signal processing. We propose a new subspace method based on a data generation model with intra-class factor and extra-class factor. The extra-class factor is associated with the distribution of classes and is important for discriminating classes. The intra-class factor is associated with the distribution within a class, and is required to be diminished for obtaining high class-separability. In the proposed method, we first estimate the intra-class factors and reduce them from the original data. We then extract the extra-class factors by PCA. For verification of proposed method, we conducted computational experiments on real facial data, and show that it gives better performance than conventional methods.
Applying the String Method to Extract Bursting Information from Microelectrode Recordings in Subthalamic Nucleus and Substantia Nigra
Authors: Pei-Kuang Chao, Hsiao-Lung Chan, Tony Wu, Ming-An Lin, Shih-Tseng Lee
Venue: Neural Information Processing: 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I (2007)

This paper proposes that bursting characteristics can be effective parameters in classifying and identifying neural activities from subthalamic nucleus (STN) and substantia nigra (SNr). The string method was performed to quantify bursting patterns in microelectrode recordings into indexes. Inter-spike-interval (ISI) was used as one of the independent variables to examine effectiveness and consistency of the method. The results show consistent findings about bursting patterns in STN and SNr data across all ISI constraints. Neurons in STN tend to release a larger number of bursts with fewer spikes in the bursts. Neurons in SNr produce a smaller number of bursts with more spikes in the bursts. According to our statistical evaluation, 50 and 80 ms are suggested as the optimal ISI constraint to classify STN and SNr's bursting patterns by the string method.
A Survey of Russian Approaches to Perebor (Brute-Force Searches) Algorithms
Authors: B. A. Trakhtenbrot
Venue: IEEE Annals of the History of Computing (1984)

Concerns about computational problems requiring brute-force or exhaustive search methods have gained particular attention in recent years because of the widespread research on the "P = NP?" question. The Russian word for "brute-force search" is "perebor. " It has been an active research area in the Soviet Union for several decades. Disputes about approaches to perebor had a certain influence on the development, and developers, of complexity theory in the Soviet Union. This paper is a personal account of some events, ideas, and academic controversies that surrounded this topic and to which the author was a witness and-to some extent-a participant. It covers a period that started in the 1950s and culminated with the discovery and investigation of non-deterministic polynomial (NP)-complete problems independently by S. Cook and R. Karp in the United States and L. Levin in the Soviet Union.
So Let's See: Taking and Keeping the Initiative in Collaborative Dialogues
Authors: Sabine Payr
Venue: Proceedings of the 7th international conference on Intelligent Virtual Agents (2007)

In order to create and maintain social relationships with human users in mixed-initiative dialogues, IVAs have to give off coherent signals of claiming or relinquishing leadership in discourse. Quantitaive and qualitative analyses of human-human collaborative task-solving dialogues from the Ohio State University Quake Corpus reveal that discursive dominance is a shared achievement of speakers and given, taken or kept in a consensual way, up to the point where they incur "costs" in terms of efficiency in solving the task. Some verbal signals can be identified as relevant to this process.
Not all patterns, but enough: an automatic verifier for partial but sufficient pattern matching
Authors: Neil Mitchell, Colin Runciman
Venue: ACM SIGPLAN Notices (2009)

We describe an automated analysis of Haskell 98 programs to check statically that, despite the possible use of partial (or non-exhaustive) pattern matching, no pattern-match failure can occur. Our method is an iterative backward analysis using a novel form of pattern-constraint to represent sets of data values. The analysis is defined for a core first-order language to which Haskell 98 programs are reduced. Our analysis tool has been successfully applied to a range of programs, and our techniques seem to scale well. Throughout the paper, methods are represented much as we have implemented them in practice, again in Haskell.
Bilingual Question Answering Using CINDI_QA at QA@CLEF 2007
Authors: Chedid Haddad, Bipin C. Desai
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)

This article presents the first participation of the CINDI group in the Multiple Language Question Answering Cross Language Evaluation Forum (QA@CLEF). We participated in a track using French as source language and English as target language. CINDI_QA first uses an online translation tool to convert the French input question into an English sentence. Second, a Natural Language Parser extracts keywords such as verbs, nouns, adjectives and capitalized entities from the query. Third, synonyms of those keywords are generated thanks to a Lexical Reference module. Fourth, our integrated Searching and Indexing component localises the candidate answers from the QA@CLEF data collection. Finally, the candidates are matched against our existing set of templates to decide on the best answer to return to the user. Out of eight runs submitted this year, CINDI_QA ranked second and third with an overall accuracy of 13%.
Design of an IP Flow Record Query Language
Authors: Vladislav Marinov, Jürgen Schönwälder
Venue: Proceedings of the 2nd international conference on Autonomous Infrastructure, Management and Security: Resilient Networks and Services (2008)

Internet traffic is often summarized by collecting NetFlow/IPFIX flow records. Several tools exist to filter or to search for specific flows in a collection of flow records. However, there is a need for a framework (filter language) which allows certain types of traffic patterns to be defined and matched in a collection of flow records. The goal of this project is to research the various filter/query languages used by tools or proposed in the literature and to extract a common basis for a new orthogonal flow record query language. We present research motivation and state of the art in this paper.