ppxscal/embedding_network huggingface dataset:
Study on Non-iterative LS-SVM Based on Entropy and Its Applications
Authors: Zhao Quanhua, Lin Qian
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

By comparing and analysing the algorithm of non-iterative LS-SVM based on Renyi-entropy, traditional LS-SVM and SVM with Second-Order Cone Programming, this paper concludes whether the number of training samples or computing time, non-iterative LS-SVM algorithm based on Renyi-entropy are significantly better than the algorithm of traditional LS-SVM and Quadratic Programming and it also proves the superiority and effectiveness of applying the concept of Renyi-entropy on financial distress prediction. At the same time, by the comparison of different point of 3 years of ST which is from 1to 2, the author concludes the forecast accuracy of 1 year ago before ST, the further distance away from the piont of ST, the lower the prediction accuracy is.
Feature selection for trainable multilingual broadcast news segmentation
Authors: David D. Palmer, Marc Reichman, Elyes Yaich
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

Indexing and retrieving broadcast news stories within a large collection requires automatic detection of story boundaries. This video news story segmentation can use a wide range of audio, language, video, and image features. In this paper, we investigate the correlation between automatically-derived multimodal features and story boundaries in seven different broadcast news sources in three languages. We identify several features that are important for all seven sources analyzed, and we discuss the contributions of other features that are important for a subset of the seven sources.
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Venue: Distributed event-based systems (2009)

It is our pleasure to present to you the Proceedings of the 3rd ACM International Conference on Distributed Event-Based Systems (DEBS), taking place in Nashville, TN, USA. The DEBS conference serves as the principal international forum for bringing together academic and industrial researchers, practitioners, and students interested in event-based systems. We have a very vibrant program this year, which includes three keynotes, six tutorials, six research sessions, one industrial session, one industrial panel, a fast abstract session, a demo/poster session, and a Ph.D. Workshop. The technical program runs for four days. The first day, July 6th, is reserved for tutorials and the Ph.D. Workshop. The following three days each start with a keynote: Dr. John Bates from Apama on July 7th, Prof. Alex Buchmann from Darmstadt University of Technology on July 8th, and Prof. Karsten Schwan from Georgia Tech on July 9th. The industrial session and panel are scheduled on July 7th. The demo/poster and fast abstract sessions take place on July 8th. The research sessions run through July 7th to 9th. The conference program is organized as plenary sessions, with the exception of the first day, during which the tutorials and the Ph.D workshop run in parallel. This year, the program committee that selected the papers consisted of 38 members for the research track and 10 members for the industrial track. The research track PC accepted 16 submissions as full research papers (27% acceptance rate), and 3 papers as short research papers. The industrial track PC accepted 3 submissions as short industrial papers. Our review process produced four reviews for each paper, followed by a discussion phase among reviewers for papers that had high variance in their ratings, and finally a shepherding process for papers that were accepted on the condition of satisfactory revisions. For the fast abstracts track, 10 short presentations will be made on new ideas or work in progress. For the demo and poster session, 7 demos and 6 posters will be presented. Finally, 7 presentations will take place during the Ph.D. Workshop. Fast abstracts, demos, posters, and Ph.D. Workshop presentations all appear as 2-page contributions in the proceedings. In its 8th year (5 years as a workshop and 3 years as a conference) DEBS is continuing to attract top level contributions from around the world, in the rapidly growing area of distributed even-based systems. The wide coverage of our technical program, in terms of the variety in the program components as well as the technical topics of the program items, is an indicator of the healthy growth in the field and the continued success of the DEBS conferences over the years.
Resolution of indirect anaphora in Japanese sentences using examples "X no Y (Y of X)"
Authors: Masaki Murata, Hitoshi Isahara, Makoto Nagao
Venue: Proceedings of the Workshop on Coreference and its Applications (1999)

A noun phrase can indirectly refer to an entity that has already been mentioned. For example, "I went into an old house last night. The roof was leaking badly and ...." indicates that "the roof" is associated with "an old house", which was mentioned in the previous sentence. This kind of reference (indirect anaphora) has not been studied well in natural language processing, but is important for coherence resolution, language understanding, and machine translation. In order to analyze indirect anaphora, we need a case frame dictionary for nouns that contains knowledge of the relationships between two nouns but no such dictionary presently exists. Therefore, we are forced to use examples of "X no Y" (Y of X) and a verb case frame dictionary instead. We tried estimating indirect anaphora using this information and obtained a recall rate of 63% and a precision rate of 68% on test sentences. This indicates that the information of "X no Y" is useful to a certain extent when we cannot make use of a noun case frame dictionary. We estimated the results that would be given by a noun case frame dictionary, and obtained recall and precision rates of 71% and 82% respectively. Finally, we proposed a way to construct a noun case frame dictionary by using examples of "X no Y."
Correcting the Normalization Shift of Redundant Binary Representations
Authors: Peter Kornerup
Venue: IEEE Transactions on Computers (2009)

An important problem in the realization of floating-point subtraction is the identification of the position of the first nonzero digit in a radix-represented number, since the significand usually is to be represented left-normalized in the part of the word(s) allocated for representing its value. There are well-known log-time algorithms for determining this position for numbers in nonredundant representations, which may also be applied to suitably (linear-time) transformed redundant representations. However, due to the redundancy in the latter case, the position thus determined may need a correction by one. When determination of the shift amount is to be performed in parallel with conversion to nonredundant representation (the subtraction), it must be performed on the redundant representation. This is also the case when the significand is to be retained in a redundant representation until the final rounding. This paper presents an improved algorithm for determining the need for a correction of the normalization shift amount, which can be run in parallel with the algorithm finding the “approximate” position.
Joomla! Templates: The Official Guide
Authors: Chris Davenport
Venue:  (2009)

The one thing every Joomla! developer needs to do is customize the appearance of their installation, which means using the Joomla! templates. The template controls the overall look and layout ofthe site. It provides the framework that brings together common elements, modules,and components as well as providing the cascading sheet for a site. Using template code makes it easier to validate to the World Wide Web Consortium (W3C) standards. Developing templates can be the stumbling block from the developer's perspective. They have the practical aspects of Joomla! figured out, but creating templatesis one of the hardest elements, taking them out of the familiar Joomla! interface. Joomla! Templates: The Official Guide is the only book officially endorsed and approved by the Joomla! project, and written by a member of the Core Team to cover all aspects of template design, development and customization. The book is organized to cover essential concepts in a practical, task-oriented way, and will include a definitive reference on template parameters. It will include specialized material not available in any other book and will include useful appendices of reference material. This book offers authoritative coverage of topics including creating a custom module chrome style, how to upgrade a Joomla! 1.0.x template to work with Joomla! 1.5.x, Joomla! modules and more. The author provides comprehensive coverage of various aspects of working with Joomla! templates including creating, customizing and upgrading. Joomla! Templates: The Official Guide show the reader how to use templates to allow sites to load faster, be easier to maintain, and to perform better in search engines. 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
Promoting a Central Learning Management System by Encouraging Its Use for Other Purposes Than Teaching
Authors: Franz Reichl, Andreas Hruska
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Vienna University of Technology's E-Learning Centre introduced Moodle in 2006 as the university's central learning management system. Custom interfaces to existing IT infrastructure as well as modules developed and deployed according to user's needs provide for a seamless digital workflow in the university's teaching, learning and organisational processes. Encouraging the use of the LMS as a multi-purpose tool to support all kinds of co-operation and communication activities in addition to curricular teaching led to a rapid and significant increase in user numbers and encouraged university teachers to deal with educational questions and to develop innovative learning and teaching solutions, based on the LMS.
Sense variation and lexical semantics generative operations
Authors: Patrick Saint-Dizier
Venue: Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning (1998)

In this document, we outline some elements related to sense variation and to sense delimitation within the perspective of the Generative Lexicon. We then show that, in some cases, the Qualia structure can be combined with or replaced by a small number of rules, which seem to capture more adequately the relationships between the predicator and one of its arguments.
Generating perceptually-correct shadows for mixed reality
Authors: Gaku Nakano, Itaru Kitahara, Yuichi Ohta
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

When human cannot perceive the inconsistency of artificial shadows which are not physically correct, they are acceptable as “perceptually-correct” shadows. This paper focuses on the simplification of light-source models for generating the perceptually-correct artificial shadows. First, we conducted subjective evaluations to obtain knowledge about the human perception of the shadows. Then the knowledge was applied to control the resolution of the light-source map to generate perceptually-correct artificial shadows. Comparative studies among artificial and real shadows justified perceptually correctness. All experiments were done using still images, not videos. Our research becomes a reference to determine the resolution of light-source map in an MR scene.
VHDL Design for Real Time Motion Estimation Video Applications
Authors: Robert Meagher, Modukuri Sushmitha, Maher E. Rizkalla, Paul Salama, Mohamed El-Sharkawy
Venue: Journal of Signal Processing Systems (2009)

The VHDL design code and its implementation using 0.25 μm technology have been demonstrated for the real time video applications. The processing time of a frame running at 400 MHz was estimated to be 8.1 ms for QCIF and CIF Sequences, which accommodates more than 120 frames per second, and this warrant real time video codec. The design was validated and simulated using ModelSim from Mentor Graphics tools, and then verified using both the VHDL testbench and the Matlab® Image processing toolbox. Various alternate search algorithms have been proposed and simulated using Matlab for their real time processing. Skipping "every other column" (SC), and skipping "every other row and column" (SRC) algorithm, "optimal local neighborhood search" (OLNS), and limited-optimal neighborhood search (L-OLNS) have been demonstrated. The microprocessor as a controller is based on RISC processor and it uses pipelining to gain clocking efficiency.
Integration of a Water Balance Model with a Decision Support Tool in the Loess Plateau of China
Authors: Hongming Zhang, Rui Li, Qinke Yang, Tim R. McVicar, Lingtao Li, Qingrui Liu, Yang Zhang, Quanzhong Liu
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

In order to reduce the massive soil erosion and to ensure sustainable development, the Chinese Central Government planned re-vegetation measures to reduce these environmental problems—especially in the Loess Plateau. This re-vegetation process will not only result in less soil erosion in the coarse sandy hilly catchments (CSHC), but also less runoff due to increased evapotranspiration (ET). A water balance model of Zhang et al. (2001) was used to estimate the subsequent impact on stream-flow and its spatial distribution in this region at first, but the results showed that the model was not able to accurately simulate average annual stream-flow when compared with stream-flow measurements from 38 hydrologic stations in CSHC of the Loess Plateau. Zhang et al. (2008) calibrated the model, and it can accurately simulate the impacts of the region on stream-flow. The recommended areas for re-vegetation and the suitability for each of 38 perennial species are also researched in the region. To provide a direct simulate result for policy makers and soil and water managers with the information that they need to make better decisions, a decision support tools called Re-Vegetation Impacts on Hydrology (ReVegIH) was developed in Microsoft's .NET environment using C# and The Invisible Modeling Environment (TIME). ReVegIH provides besides basic Geographical Information System (GIS) functions, impacts of different re-vegetation result on runoff and ET, re-vegetation and priority areas for trees and shrubs, the suitability of 38 species for planting in the CSHC. The establishment of ReVegIH provided a very efficient way of managing re-vegetation species and areas, showing simulate result of the model, calibrating model coefficient. ReVegIH does not consider loading other catchments or counties dataset to simulate and also loading map is not efficient enough.
Social anxiety and technology: Face-to-face communication versus technological communication among teens
Authors: Tamyra Pierce
Venue: Computers in Human Behavior (2009)

This study examined teens' use of socially interactive technologies (SITs), such as online social sites, cell phones/text messaging, and instant messaging (IM), and the role that social anxiety plays on how teens communicate with others (technologically or face-to-face). Participants included 280 high school students from a large western city. On average, 35-40% of teens reported using cell phones/text messaging and online social sites between 1 and 4h daily, 24% reported using IMs 1-4h daily and only 8% reported using email between 1 and 4h daily. Females tended to use cell phones/text messaging and online social sites more so than did males. In assessing social anxiety, analyses revealed a positive relationship between social anxiety (not comfortable talking with others face-to-face) and (1) talking with others online and (2) talking with others via text messaging. In contrast, there was a positive relationship between the lack of social anxiety (feeling ''comfortable'' talking with others) and making friends online. Assessing gender differences and social anxiety also revealed significant differences. Results revealed females reported more social anxiety (not comfortable talking with others in person) than did males. In addition, females, more than males, reported feeling more comfortable using SITs (text messaging and online social sites only) rather than talking with others face-to-face.
A Novel Bayes Model: Hidden Naive Bayes
Authors: Liangxiao Jiang, Harry Zhang, Zhihua Cai
Venue: IEEE Transactions on Knowledge and Data Engineering (2009)

Because learning an optimal Bayesian network classifier is an NP-hard problem, learning-improved naive Bayes has attracted much attention from researchers. In this paper, we summarize the existing improved algorithms and propose a novel Bayes model: hidden naive Bayes (HNB). In HNB, a hidden parent is created for each attribute which combines the influences from all other attributes. We experimentally test HNB in terms of classification accuracy, using the 36 UCI data sets selected by Weka, and compare it to naive Bayes (NB), selective Bayesian classifiers (SBC), naive Bayes tree (NBTree), tree-augmented naive Bayes (TAN), and averaged one-dependence estimators (AODE). The experimental results show that HNB significantly outperforms NB, SBC, NBTree, TAN, and AODE. In many data mining applications, an accurate class probability estimation and ranking are also desirable. We study the class probability estimation and ranking performance, measured by conditional log likelihood (CLL) and the area under the ROC curve (AUC), respectively, of naive Bayes and its improved models, such as SBC, NBTree, TAN, and AODE, and then compare HNB to them in terms of CLL and AUC. Our experiments show that HNB also significantly outperforms all of them.
Riemann-Hilbert problem associated with Angelesco systems
Authors: A. Branquinho, U. Fidalgo, A. Foulquié Moreno
Venue: Journal of Computational and Applied Mathematics (2009)

Angelesco systems of measures with Jacobi-type weights are considered. For such systems, strong asymptotics for the related multiple orthogonal polynomials are found as well as the Szego-type functions. In the procedure, an approach from the Riemann-Hilbert problem plays a fundamental role.
A Fine-Grained Pipelined Implementation for Large-Scale Matrix Inversion on FPGA
Authors: Jie Zhou, Yong Dou, Jianxun Zhao, Fei Xia, Yuanwu Lei, Yuxing Tang
Venue: Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies (2009)

Large-scale matrix inversion play an important role in many applications. However to the best of our knowledge, there is no FPGA-based implementation. In this paper, we explore the possibility of accelerating large-scale matrix inversion on FPGA. To exploit the computational potential of FPGA, we introduce a fine-grained parallel algorithm for matrix inversion. A scalable linear array processing elements (PEs), which is the core component of the FPGA accelerator, is proposed to implement this algorithm. A total of 12 PEs can be integrated into an Altera StratixII EP2S130F1020C5 FPGA on our self-designed board. Experimental results show that a factor of 2.6 speedup and the maximum power-performance of 41 can be achieved compare to Pentium Dual CPU with double SSE threads.
Motivating Intelligent E-mail in Business: An Investigation into Current Trends for E-mail Processing and Communication Research
Authors: Michal Laclavik, Diana Maynard
Venue: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing (2009)

According to recent surveys, information workerssend and receive an average of 133 messages per day, andusers talk about “living” in email, spending an average of21 percent of their time on it, as well as reporting generalproblems with overload. Information created by a business can represent either an asset or a liability, depending largely on how well it is managed. Email is no different in this respect: it can be a highly efficient and useful tool for communication, but only if the information it contains can be managed effectively. One of the main drawbacks of email usage today is its insufficient integration into the collective workspace environment. We believe that by integrating it with other external information (both onthe desktop and on distributed servers), one can migrate some of this information to more appropriate storage environments, thereby partly addressing the problem of overload and offering users an integrated access to data and functionality. Currently, there is much research in the area of both personalised and business information management, but very little research that focuses on email as the primary information source, despite its ubiquity. In this paper we survey the current state of the art in email processing and communication research, focusing onthe current and potential roles played by email in information management, and commercial and research efforts to integrate a semantic-based approach to email.
Zeros of linear combinations of Laguerre polynomials from different sequences
Authors: Kathy Driver, Kerstin Jordaan
Venue: Journal of Computational and Applied Mathematics (2009)

We study interlacing properties of the zeros of two types of linear combinations of Laguerre polynomials with different parameters, namely R"n=L"n^@a+aL"n^@a^^^' and S"n=L"n^@a+bL"n"-"1^@a^^^'. Proofs and numerical counterexamples are given in situations where the zeros of R"n, and S"n, respectively, interlace (or do not in general) with the zeros of L"k^@a, L"k^@a^^^', k=n or n-1. The results we prove hold for continuous, as well as integral, shifts of the parameter @a.
Get out the vote: determining support or opposition from congressional floor-debate transcripts
Authors: Matt Thomas, Bo Pang, Lillian Lee
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

We investigate whether one can determine from the transcripts of U.S. Congressional floor debates whether the speeches represent support of or opposition to proposed legislation. To address this problem, we exploit the fact that these speeches occur as part of a discussion; this allows us to use sources of information regarding relationships between discourse segments, such as whether a given utterance indicates agreement with the opinion expressed by another. We find that the incorporation of such information yields substantial improvements over classifying speeches in isolation.
Salient Object Extraction Based on Region Saliency Ratio
Authors: Zhongmin Han, Zhi Liu, Zhaoyang Zhang, Yu Lu, Weiwei Li, Hongbo Yan
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

This paper proposes an efficient approach to extract salient objects in an image. A scale-invariant saliency map is first constructed based on a multi-resolution feature contrast calculation, meanwhile the image is segmented into homogenous regions using nonparametric kernel density estimation (NKDE).Then the region saliency ratio of each region combination to its complement is calculated in turn. Finally, salient objects are extracted by maximizing the region saliency ratio. Experimental results demonstrate the effectiveness of the proposed approach.