ppxscal/embedding_network huggingface dataset:
Conference Mining via Generalized Topic Modeling
Authors: Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

Conference Mining has been an important problem discussed these days for the purpose of academic recommendation. Previous approaches mined conferences by using network connectivity or by using semantics-based intrinsic structure of the words present between documents (modeling from document level (DL)), while ignored semantics-based intrinsic structure of the words present between conferences. In this paper, we address this problem by considering semantics-based intrinsic structure of the words present in conferences (richer semantics) by modeling from conference level (CL). We propose a generalized topic modeling approach based on Latent Dirichlet Allocation (LDA) named as Conference Mining (ConMin). By using it we can discover topically related conferences, conferences correlations and conferences temporal topic trends. Experimental results show that proposed approach significantly outperformed baseline approach in discovering topically related conferences and finding conferences correlations because of its ability to produce less sparse topics.
Benchmarking Image Segmentation Algorithms
Authors: Francisco J. Estrada, Allan D. Jepson
Venue: International Journal of Computer Vision (2009)

We present a thorough quantitative evaluation of four image segmentation algorithms on images from the Berkeley Segmentation Database. The algorithms are evaluated using an efficient algorithm for computing precision and recall with regard to human ground-truth boundaries. We test each segmentation method over a representative set of input parameters, and present tuning curves that fully characterize algorithm performance over the complete image database. We complement the evaluation on the BSD with segmentation results on synthetic images. The results reported here provide a useful benchmark for current and future research efforts in image segmentation.
A Resource Broker with Cross Grid Information Services on Computational Multi-grid Environments
Authors: Chao-Tung Yang, Wen-Jen Hu, Kuan-Chou Lai
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

Grid computing is now in widespread use, which integrates geographical computing resources across multiple virtual organizations to achieve high performance computing. In this paper, we present a new grid architecture, which integrates multiple computational grids, named Multi-Grid, from different virtual organizations. The proposed architecture could solve the large-scale computational problem. Due to gathering information across different grids has the imprecise problem, the accuracy of information probably affects the computational efficiency. Thus, this paper proposes a cross-grid information service approach to gather resource information. Furthermore, a gathering algorithm, which could balance the query frequency and the resource information accuracy, is present to reduce the load of information servers. Finally, we implement a resource broker with cross-grid information services on multi-grid computational environments.
Modifying a natural language processing system for European languages to treat Arabic in information processing and information retrieval applications
Authors: Gregory Grefenstette, Nasredine Semmar, Faïza Elkateb-Gara
Venue: Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages (2005)

The goal of many natural language processing platforms is to be able to someday correctly treat all languages. Each new language, especially one from a new language family, provokes some modification and design changes. Here we present the changes that we had to introduce into our platform designed for European languages in order to handle a Semitic language. Treatment of Arabic was successfully integrated into our cross language information retrieval system, which is visible online.
The LexALP information system: term bank and corpus for multilingual legal terminology consolidated
Authors: Verena Lyding, Elena Chiocchetti, Gilles Sérasset, Francis Brunet-Manquat
Venue: Proceedings of the Workshop on Multilingual Language Resources and Interoperability (2006)

Standard techniques used in multilingual terminology management fail to describe legal terminologies as they are bound to different legal systems and terms do not share a common meaning. In the LexALP project, we use a technique defined for general lexical databases to achieve cross language interoperability between languages of the Alpine Convention. In this paper we present the methodology and tools developed for the collection, description and harmonisation of the legal terminology of spatial planning and sustainable development in the four languages of the countries of the Alpine Space.
Culturally adapted mathematics education with ActiveMath
Authors: Erica Melis, Giorgi Goguadze, Paul Libbrecht, Carsten Ullrich
Venue: AI Society (2009)

Although it may seem that mathematics education material does not need any enculturation, the opposite is true. We report the results of a case study in several European countries and describe the different dimensions in which mathematics educational material has to be adapted to the cultural context of the learner. We describe the knowledge representation and mechanisms through which the user-adaptive learning platform ActiveMath realizes those adaptations to the language, countries, and communities of practice.
Database-Driven Grasp Synthesis and Ergonomic Assessment for Handheld Product Design
Authors: Keisuke Kawaguchi, Yui Endo, Satoshi Kanai
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

Recently, simulation-based ergonomic assessments for handheld products, such as mobile phones, have seen a growing interest and have been increasingly studied. In these studies, the combination of 3D product models and "digital hands", which are a parametric 3D models of human hands, have been used. One of the keys to the ergonomic assessment using the digital hand is the "grasp synthesis" where plausible grasp postures for the product model have to be generated. In this paper, we propose a new database-driven grasp synthesis method considering the geometric constraints of grasping handheld products. The proposed method can generate more plausible grasp postures for handheld products in easier interactions than those of previous ones.
Selection of Security Elliptic Curve Based on Evolution Algorithm
Authors: Maocai Wang, Guangming Dai, Hanping Hu, Lei Pen
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

Applying evolution algorithm to selection of security elliptic curve (EC) is first researched in the paper. In order to ensure the security of elliptic curve cryptosystem (ECC), it is necessary that the elliptic curves are safe against all kinds of attack algorithms about the elliptic curve discrete logarithm problem (ECDLP). Therefore, selection of secure elliptic curves is a mathematics difficult problem. In this paper, selection principles of secure EC are firstly analyzed. Then, based on the selection principle, a selection algorithm of security EC based on evolution algorithm is put forward. The thoughts of encoding, crossover and mutation of evolution algorithm for selection of EC are discussed in detail. The implementation result shows the availability and efficiency of the algorithm.
3D Colored Model Streaming Mechanism Based on Predictive Reconstruction Method over Wireless Network
Authors: Bailin Yang, Zhiyong Zhang, Xun Wang
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

This paper proposes a model streaming mechanism for colored progressive model based on predictive reconstruction method. After the packetizating of progressive mode and sent at the server side, predictive reconstruction method is developed to help a 3D model render in a desired visual quality even if some model information is lost. In particularly, the method consists of rapid prediction and progressive refinement, which can quickly reconstruct the geometry, color and normal information for the lost vertices of model. The experimental results show that the proposed streaming technique based on this novel predictive reconstruction methods enables the clients achieves good model visual quality with less transmission time.
Visual Discovery in Large-Scale Astrophysical Datasets; Experiences Using the Sloan Digital Sky Survey
Authors: G. Caniglia, M. Krokos, U. Becciani, C. Gheller, R. Nichol, M. Comparato, A. Costa, A. Grillo, Z. Jin, P. Massimino, F. Vitello
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

Nowadays astronomers are experiencing an unprecedented growth in the quality and quantity of datasets coming from numerical simulations and real-world observations. For example, the increasing availability of high performance computing facilities has given the possibility to perform large-scale simulations of several dimensions. Also, forthcoming astronomical surveys are expected to collect datasets of several petabytes. The emerging need is thus for efficient visual discovery tools for rapid inspection to identify regions of interest in large-scale datasets prior to applying computationally expensive data analysis algorithms. This paper reports our experiences in developing visual discovery tools for the Sloan Digital Sky Survey (SDSS), the most ambitious astronomical survey ever undertaken. We present existing tools and visualization requirements collected from SDSS users for new functionality. We then discuss a range of newly developed visual discovery tools and their applicability to SDSS and finally we conclude with pointers to future developments.
Finger-Knuckle-Print Verification Based on Band-Limited Phase-Only Correlation
Authors: Lin Zhang, Lei Zhang, David Zhang
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

This paper investigates a new automated personal authentication technique using finger-knuckle-print (FKP) imaging. First, a specific data acquisition device is developed to capture the FKP images. The local convex direction map of the FKP image is then extracted, based on which a coordinate system is defined to align the images and a region of interest (ROI) is cropped for feature extraction and matching. To match two FKPs, we present a Band-Limited Phase-Only Correlation (BLPOC) based method to register the images and further to evaluate their similarity. An FKP database is established to examine the performance of the proposed method, and the promising experimental results demonstrated its advantage over the existing finger-back surface based biometric systems.
Using coreference for question answering
Authors: Thomas S. Morton
Venue: Proceedings of the Workshop on Coreference and its Applications (1999)

We present a system which retrieves answers to queries based on coreference relationships between entities and events in the query and documents. An evaluation of this system is given which demonstrates that the the amount of information that the user must process on average, to find an answer to their query, is reduced by an order of magnitude.
A Security Architecture Based on User Authentication of Bluetooth
Authors: Yu Xin, Yan Ting
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Through the analysis and research of Bluetooth's security architecture, in this paper it gives out the Security Architecture based on User Authentication and Block Cipher that is not provided natively by Bluetooth. It can defeat threats of only adopted Bluetooth link-level authentication and E0 Stream Cipher.
A hybrid generative/discriminative approach to semi-supervised classifier design
Authors: Akinori Fujino, Naonori Ueda, Kazumi Saito
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

Semi-supervised classifier design that simultaneously utilizes both labeled and unlabeled samples is a major research issue in machine learning. Existing semisupervised learning methods belong to either generative or discriminative approaches. This paper focuses on probabilistic semi-supervised classifier design and presents a hybrid approach to take advantage of the generative and discriminative approaches. Our formulation considers a generative model trained on labeled samples and a newly introduced bias correction model. Both models belong to the same model family. The proposed hybrid model is constructed by combining both generative and bias correction models based on the maximum entropy principle. The parameters of the bias correction model are estimated by using training data, and combination weights are estimated so that labeled samples are correctly classified. We use naive Bayes models as the generative models to apply the hybrid approach to text classification problems. In our experimental results on three text data sets, we confirmed that the proposed method significantly outperformed pure generative and discriminative methods when the classification performances of the both methods were comparable.
Approximating sensor network queries using in-network summaries
Authors: Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs and maintains a spanning tree within the network, rooted at the basestation. The tree maintains compressed summary information for each link that is used to “stub out” traversal during query processing. Our work is based on a formal model of the in-network tree construction task framed as an optimization problem.We demonstrate hardness results for that problem, and develop efficient approximation algorithms for subtasks that are too expensive to compute exactly. We also propose efficient heuristics to accommodate a wider set of workloads, and empirically evaluate their performance and sensitivity to model changes.
Release Planning of Software Systems
Authors: Omolade Moshood Saliu
Venue:  (2009)

Large software systems evolve because of the need to extend their functionality by adding new features or modifying existing ones. Release planning for such systems can be extremely challenging. There are both business and technical perspectives to this challenge. From a business perspective, new feature requests originate from stakeholders with diverse (and often conflicting) business interests, who all want their needs to be met, in spite of resource, schedule and other project constraints. From a technical perspective, incorporating a new feature into an existing software system, without breaking old features, can be a tough balancing act. This book discusses a novel and rigorous decision support technique known as SoRPES that addresses these two perspectives. The work provides a theoretical foundation for, and a novel formulation of, release planning as a multi-objective optimization problem. Using results from empirical validation studies conducted on real-world projects, the book presents software practitioners with a useful tool to generate release plans that are often more optimal and more practical than could be obtained by existing techniques. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Research of Operation Method of Automation Control Model in a Single Ice-Covered Canal
Authors: Mengkai Liu, Changde Wang, Xiaobo Feng
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Using the characteristics method to slove the unsteady flow with an ice-cover equations including continuity equation and momentum equation. Adding to consider the canal operation methods, boundary conditions can be got. So the process of the unsteady flow changes can be got by numerical simulation. Finally a suggestion about operation method is got that can be better to used to suoth-to–north water diversion projection. And also it points out the the caculation method of wetted perimeter in this case. So this research contributes to the cannal system with an ice-cover automatation model.
Lazy approximation for solving continuous finite-horizon MDPs
Authors: Lihong Li, Michael L. Littman
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

Solving Markov decision processes (MDPs) with continuous state spaces is a challenge due to, among other problems. the well-known curse of dimensionality. Nevertheless, numerous real-world applications such as transportation planning and telescope observation scheduling exhibit a critical dependence on continuous states. Current approaches to continuous-state MDPs include discretizing their transition models. In this paper, we propose and study an alternative, discretization-free approach we call lazy approximation. Empirical study shows that lazy approximation performs much better than discretization, and we successfully applied this new technique to a more realistic planetary rover planning problem.
Evaluating Emotive Character Animations Created with Procedural Animation
Authors: Yueh-Hung Lin, Chia-Yang Liu, Hung-Wei Lee, Shwu-Lih Huang, Tsai-Yen Li
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

How to create effective body animations for virtual agents with emotions remains the state of the art for human animators and a great challenge for computer scientists. In this paper, we propose to use a model of hierarchal parameters to represent body animations: emotional, style, motion, and procedural parameters. Based on this model, we have created motions for a virtual character with generic animation procedures and mapped these procedural parameters into style parameters as proposed in the literature. The expressiveness of the generated animations was verified through experiments in our previous work. In this paper, we further report the results of two experiments attempting to verify how the style parameters are mapped into various emotions. The results reveal that the participants can successfully distinguish emotions based on the manipulation of style parameters for neutral motions such as walking. When these style parameters were used for emotive motions, including pounding, shivering, flourishing and crestfallen, the generated animations were even more effective for intended contexts.
Active learning for statistical phrase-based machine translation
Authors: Gholamreza Haffari, Maxim Roy, Anoop Sarkar
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

Statistical machine translation (SMT) models need large bilingual corpora for training, which are unavailable for some language pairs. This paper provides the first serious experimental study of active learning for SMT. We use active learning to improve the quality of a phrase-based SMT system, and show significant improvements in translation compared to a random sentence selection baseline, when test and training data are taken from the same or different domains. Experimental results are shown in a simulated setting using three language pairs, and in a realistic situation for Bangla-English, a language pair with limited translation resources.
Effects of Recirculation Parameter on Leachate from Fresh Municipal Solid Waste
Authors: Xiaojie Sun, Yingjie Sun, Hongtao Wang, Wenjing Lu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Effects of recirculation leachate quality, hydraulic load and frequency on leachate from fresh municipal refuse were investigated in a bench-scale experiment. Recirculation hydraulic load and frequency can affect quality of lechate from fresh refuse. It is testified that the lower COD concentration of leachate re-circulated into the fresh refuse landfill layer contributed to the improvement of leachate quality in the refuse landfill layer. Higher hydraulic-load results in lower pH. Higher recirculation frequency results in lower pH during the hydrolysis and acidification phase and higher pH during the methanation phase. So during the start stage of leachate recirculation to the new landfilled refuse unit, low hydraulic load and low frequency should be adopted.
Detail-Adaptive Toon Shading Using Saliency
Authors: Dongwann Kang, Jae-Min Chung, Sang-Hyun Seo, Jong-Soo Choi, Kyung-Hyun Yoon
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

This paper proposes a toon shading technique that can depict morphological features of an object precisely. We have applied two algorithms to conventional toon shading technique. The first is to express the shape of important areas by increasing and decreasing local contrast proportional to the degree of visual importance of an area by using virtual local lights while maintaining cartoon effect. The second algorithm is to depict details by adjusting the shading levels according to the visual importance of an area by using 2D toon texture. Saliency was used in this paper as a measure to determine visual importance of each area. Adjustments of shading levels and local contrasts based on saliency create cartoon images that are properly revealing details of significant areas regardless of an object’s surface orientation and the location of a light.
Computer-Assisted Handwriting Analysis: Interaction with Legal Issues in U.S. Courts
Authors: Kenneth A. Manning, Sargur N. Srihari
Venue: Proceedings of the 3rd International Workshop on Computational Forensics (2009)

Advances in the development of computer-assisted handwriting analysis have led to the consideration of a computational system by courts in the United States. Computer-assisted handwriting analysis has been introduced in the context of Frye or Daubert hearings conducted to determine the admissibility of handwriting testimony by questioned document examiners, as expert witnesses, in civil and criminal proceedings. This paper provides a comparison of scientific and judicial methods, and examines concerns over reliability of handwriting analysis expressed in judicial decisions. Recently, the National Research Council assessed that "the scientific basis for handwriting comparisons needs to be strengthened". Recent studies involving computer-assisted handwriting analysis are reviewed in light of the concerns expressed by the judiciary and National Research Council. A future potential role for computer-assisted handwriting analysis in the courts is identified.
View Synthesis Oriented Depth Map Coding Algorithm
Authors: Bo Zhu, Gangyi Jiang, Yun Zhang, Zongju Peng, Mei Yu
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

A view synthesis-oriented depth map coding algorithm is proposed in this paper. Depth map is classified into inner motion regions, background subtracted with edges and edge regions by using edge detection of current depth map and the frame difference between corresponding color images. Then macroblocks in different regions are encoded with different RDO schemes so as to speed up the encoding process while keep the quality of reconstructed depth map. Experimental results show that the proposed method not only improves the encoding speed significantly, but also saves bitrate of depth map sequence while maintaining high quality of synthesized virtual view images.