ppxscal/embedding_network huggingface dataset:
Review of "Sufficient Statistics: Selected Contributions, by Vasant S. Huzurbazar", Marcel Dekker, Inc., 1976
Venue: ACM SIGSIM Simulation Digest (1979)

This is Volume 19 of the excellent Dekker series, "Statistics: Textbooks and Monographs Series." This is a research monograph offering a rigorous discussion of the properties of sufficient statistics, general forms of distributions admitting sufficient statistics, especially in non-regular cases. This volume includes characterization of some combination of the properties of location, scale and sufficiency, as well as inverse probability and to a limited extent the development of applications of new invariants of probability distributions. 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
A Theory for Photometric Self-Calibration of Multiple Overlapping Projectors and Cameras
Authors: Peng Song, Tat-Jen Cham
Venue: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03 (2005)

A theory for photometric calibration of cameras and multiple projectors with overlapping displays is presented. The theory is predominantly based on the analysis of isointensity curves in projector input state spacecurves which define different projector input intensity combinations that result in the same camera-observed pixel intensities. Three methods, which have different speed and accuracy tradeoffs, are proposed for recovering the projector-to-screen and screento- camera intensity transfer functions. The methods do not require a specific parametric model for the shapes of these functions, nor impose any smoothness constraints. Additional methods are described for calibrating projector offsets and binary light sources, and also extending the perpixel analysis to other pixels in the display. The methods do not require the use of expensive equipment, and may be carried out with a low dynamic range camera with minimal controls.
Handling Constraints in Multi-Objective GA for Embedded System Design
Authors: Biman Chakraborty, Ting Chen, Tulika Mitra, Abhik Roychoudhury
Venue: Proceedings of the 19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design (2006)

Design space exploration is central to embedded system design. Typically this is a multi-objective search problem, where performance, power, area etc. are the different optimization criteria, to find the Pareto-optimal points. Multi-objective Genetic Algorithms (GA) have been found to be a natural fit for such searches and have been used widely. However, for certain design spaces, a large part of the space being explored by GA may violate certain design constraints. In this paper, we use a multi-objective GA algorithm based on "repair", where an infeasible design point encountered during the search is repaired to a feasible design point. Our primary novelty is to use a multi-objective version of search algorithms, like branch and bound, as the repair strategy to optimize the objectives. We also pre-compute a layout of the genes such that infeasible design points are less likely to be encountered during the search. We have successfully employed our hybrid search strategy to design application-specific instruction-set extensions that maximize performance and minimize area.
Detecting Abnormal Patterns in WCE Images
Authors: N. Bourbakis
Venue: Proceedings of the Fifth IEEE Symposium on Bioinformatics and Bioengineering (2005)

This paper presents a methodology for detecting abnormal patterns in Wireless Capsule Endoscopy (WCE) images. In particular, an average of 50,000 images are obtained during an WCE exam. Usually, these images are reviewed in a form of a video at speeds between 5 to 40 image-frames/sec. The time spent by a physician reading the results of WCE images varies between 45 to 180 minutes. This presents a major problem which is the reading process that consumes a significant amount of time and the results take several days before they become available since the physician has to find the time to study each video uninterrupted for up to 3 hours. The methodology presented here is based on the automatic detection of abnormal WCE patterns in an effort for reducing the reading time of the WCE images and the cost of the procedure as well. The methodology consists of a synergistic integration of image processing, analysis and recognition techniques for achieving the automatic detection of the WCE abnormal patterns.
MyCoG.NET: towards a multi-language CoG toolkit
Authors: A. Paventhan, Kenji Takeda
Venue: Proceedings of the 3rd international workshop on Middleware for grid computing (2005)

Grid application developers may exploit Commodity Grid Toolkits (CoG) to readily consume Globus Grid services. Existing CoG Toolkits are language-specific and are available for Java, Python, and the Matlab scripting environment. In this paper we describe the first multi-language CoG toolkit, MyCoG.NET, based around the Microsoft NET Framework. MyCoG provides set of classes and APIs for .NET. We demonstrate its programmability using FORTRAN, C++, C# and Java, and discuss its performance over LAN and WAN infrastructures. We also demonstrate its applicability by providing a case-study in the field of experimental aerodynamics. We believe this is the first commodity grid toolkit supporting multiple languages, obviating the need for new CoG toolkits to be developed for languages supported under the .NET framework. Considering the numerous desktops/laptops running Windows, MyCoG.NET offers users with a platform of choice and extends Grid services reach significantly.
A Novel Just-In-Time Compiler on an Embedded Object-Oriented Processor
Authors: Yau Chi Hang, Tan Yiyu, Fong Anthony
Venue: Proceedings of the The Fifth International Conference on Computer and Information Technology (2005)

As software trend is moving to Object-Oriented Programming (OOP), a novel object processor for running OOP offers an opportunity to enhance the system security, performance and to provide an alternative for a Virtual Machine to suit OOP. We select Java as our targeting language due to its security, re-usability and portability. However, Java's severe restrictions of its real-time behavior become the barrier on embedded devices. Our solution is to build a Java Just-In-Time compiler on jHISC, a descriptor processor targeting on Java, in order to excel in running Java language. Through this hardware and software co-development, Java can run as a native language in embedded devices similar to the performance of running C language on RISC or CISC and penetrate all Java's features to increase overall system security and performance.
Modeling extreme waves based on equations of potential flow with a free surface
Authors: Dmitry Chalikov, Dmitry Sheinin
Venue: Journal of Computational Physics (2005)

A method for numerical investigation of nonlinear wave dynamics based on direct hydrodynamical modeling of 1-D potential periodic surface waves is created. The model is a part of an interactive wind-wave model. Using a non-stationary conformal mapping, the principal equations are rewritten in a surface-following coordinate system and reduced to two simple evolutionary equations for the elevation and the velocity potential of the surface; Fourier expansion is used to approximate these equations. High accuracy was confirmed by validation of the non-stationary model against known solutions, and by comparison between the results obtained with different resolution in the horizontal. The method developed is applied to the simulation of waves evolution with different initial conditions. Numerical experiments with initially monochromatic waves with different steepness show that the model is able to simulate breaking conditions when the surface becomes a multi-valued function of the horizontal coordinate. An estimate of the critical initial wave height that divides between non-breaking and eventually breaking waves is obtained. Simulations of nonlinear evolution of a wave field is represented initially by two modes with close wave numbers (amplitude modulation) and a wave field with a phase modulation. Both runs result in the appearance of large and very steep waves, these also break if the initial amplitudes are sufficiently large.
Associating Text and Graphics for Scientific Chart Understanding
Authors: Weihua Huang, Chew Lim Tan, Wee Kheng Leow
Venue: Proceedings of the Eighth International Conference on Document Analysis and Recognition (2005)

This paper presents our recent work that aims at associating the recognition results of textual and graphical information contained in the scientific chart images. Text components are first located in the input image and then recognized using OCR. On the other hand, the graphical objects are segmented and form high level symbols. Both logical and semantic correspondence between text and graphical symbols are identified. The association of text and graphics allows us to capture the semantic meaning carried by scientific chart images in a more complete way. The result of scientific chart image understanding is presented using XML documents.
COSIME: Real-life Cellular Network on the Desktop
Authors: Sami Nikkarinen, Konstantin Shemyak
Venue: Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services (2005)

Development of software for mobile environment is often complicated by difficulty of "real-life" testing. Functional testing could be run against network emulator( s), but this is often not enough for performance testing. The latter includes, for example, testing of response times or quality of end-to-end service. For such tasks, emulation of live network is necessary. This paper describes the inexpensive, easy to use, and fully configurable testing tool, developed at Nokia Research Center. The testbed named COSIME (COmbined SIMulator and Emulator) provides real-life network environment for testing the mobile phone software, from the network-specific protocol stack up to user's applications.
A Constraints Programming Approach for Fabric Cell Synthesis
Authors: Christophe Wolinski, Krzysztof Kuchcinski
Venue: Proceedings of the 8th Euromicro Conference on Digital System Design (2005)

This paper presents a novel method to generate optimized architecture of hardware processes implemented on "System on a Programmable Chip" (SoPC). The hardware processes are the applications tailored "cells" in the Processor- Coupled Polymorphous Fabric ([12], [11]) implemented on the reconfigurable SoPC platform. In order to obtain optimized high performance pipelined architecture each process implementing repetitive conditional behavior with possible inter-iteration dependencies is scheduled under hardware resource constraints using "FAbric cell Synthesis Tool" (FAST). The scheduling problem is defined and solved using constraints programming approach. This approach makes it possible to obtain optimal solutions in terms of execution time and number of registers for a number of real cases. Our method is illustrated using a simple example and a part of the "CORDIC" application [6]. The final design is implemented on a reconfigurable platform that shows feasibility of our approach. Optimal schedules are achieved for both discussed applications.
Acceleration of the generalized global basis (GGB) method for nonlinear problems
Authors: Haim Waisman, Jacob Fish, Raymond S. Tuminaro, John N. Shadid
Venue: Journal of Computational Physics (2005)

Two heuristic strategies intended to enhance the performance of the generalized global basis (GGB) method [H. Waisman, J. Fish, R.S. Tuminaro, J. Shadid, The Generalized Global Basis (GGB) method, International Journal for Numerical Methods in Engineering 61(8), 1243-1269] applied to nonlinear systems are presented. The standard GGB accelerates a multigrid scheme by an additional coarse grid correction that filters out slowly converging modes. This correction requires a potentially costly eigen calculation. This paper considers reusing previously computed eigenspace information. The GGB@a scheme enriches the prolongation operator with new eigenvectors while the modified method (MGGB) selectively reuses the same prolongation. Both methods use the criteria of principal angles between subspaces spanned between the previous and current prolongation operators. Numerical examples clearly indicate significant time savings in particular for the MGGB scheme.
Erratum: Future pricing through homogeneous semi-Markov processes: Errata
Authors: Giuseppe Di Biase, Jacques Janssen, Raimondo Manca
Venue: Applied Stochastic Models in Business and Industry (2005)

The original article to which this Erratum refers was published in Applied Stochastic Models in Business and Industry 2005;21 (3):241&ndash;249 &copy; 2005 Wiley Periodicals, Inc.
A Novel Approach for Web-based Data Input Panel Design
Authors: Xinyong ZHANG, Xiangshi REN, Shijian LU
Venue: Proceedings of the The Fifth International Conference on Computer and Information Technology (2005)

In web-based application development, user interfaces design is a major task especially on the face of changing circumstance. One important and ubiquitous task in web-based user interface design is the development of data input pages. In this paper, we propose a novel approach to address issues concerning data input page development. In this approach, data input panels can be automatically generated for all the tables in a database. Furthermore, the generated data input panels are self-adaptable to suit user interaction patterns. Based on our initial evaluation, this approach has the potential to make web based system easier to develop, more flexible to change, and easier to maintain.
Recognition of Printed Amharic Documents
Authors: Million Meshesha, C. V. Jawahar
Venue: Proceedings of the Eighth International Conference on Document Analysis and Recognition (2005)

In Africa, there are a number of languages with their own indigenous scripts. This paper presents an OCR for Amharic scripts. Amharic is the oficial and working language of Ethiopia. This is possibly the Jirst attempt towards the development of an OCR system for Amharic. Research in the recognition of Amharic script faces major challenges due to (i) the use of more than 300 characters in writing and (ii) existence of a large set of visually similar characters. In this paper, we propose a two-stage feature extraction scheme using PCA and LDA, followed by a decision DAG classifier with SVMs as the nodes. Recognition results are presented to demonstrate the peformance on the various printing variations Ifonts, styles and sizes) and real-life degraded documents such as books, magazines and newspapers.
Embedded Tutorial: Analog Circuit Performance Issues with Aggressively Scaled Gate Oxide CMOS Technologies
Authors: K. Narasimhulu, V. Ramgopal Rao
Venue: Proceedings of the 19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design (2006)

MOS Transistors with sub 100 nm channel lengths need a gate oxide thickness in the range of 1 - 2 nm to combat the short channel effects. However at these gate dielectric thicknesses, the gate current is no longer negligible. In this paper, we report the device analog behavior with extremely scaled oxides for integrating mixed signal circuits using the scaled digital CMOS technologies. We show the performance of common source amplifiers and current mirror circuits with these technologies. Our results also show that though thin oxides result in good voltage gains of amplifier circuits, the increased gate leakage degrades the performance of current mirror circuits. We also analyze the performance of different classes of current mirror circuits in the presence of gate leakage and provide broad guidelines for analog circuit design in the presence of gate leakage.
A Novel Approach to Cell Coverage Area Determination for FDMA---CDMA Systems
Authors: F. Hendessi, Kh. Ghassemi, A. Ghayoori, T. A. Gulliver
Venue: Wireless Personal Communications: An International Journal (2005)

There is no theoretical time or frequency restrictions on capacity in DS-CDMA systems. In these systems, the signal to interference ratio (SIR) has a major effect on capacity. Since an increase in the user SIR at the base station (BS) leads to higher capacity, transmission power control is employed. The nonuniform distribution of users in the network causes different quality of service (QOS) in distinct regions, therefore network resources may not be utilized properly. A dynamic distribution algorithm can be employed to balance the QOS delivered in different regions of the network. In this paper, a novel dynamic distribution algorithm is introduced. The proposed algorithm deactivates certain users when the network encounters an overload. By applying this policy, the required SIR can be maintained for the remaining users.
Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach
Authors: Yongsheng J,  Pan, Douglas Birdwell, Seddik M. Djouadi
Venue: Proceedings of the Seventh IEEE International Symposium on Multimedia (2005)

In this paper, a new model is proposed for image segmentation that integrates the curve evolution and anisotropic diffusion methods. The curve evolution method, utilizing both gradient and region information, segments an image into multiple regions. During the evolution of the curve, anisotropic diffusion is adaptively applied to the image to remove noise while preserving boundary information. Coupled partial differential equations (PDE's) are used to implement the method. Experimental results show that the proposed model is successful for complex images with high noise.
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Authors: Andy Yoo, Edmond Chow, Keith Henderson, William McLendon, Bruce Hendrickson, Umit Catalyurek
Venue: Proceedings of the 2005 ACM/IEEE conference on Supercomputing (2005)

Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth- first search (BFS) scheme that scales for random graphs with up to three billion vertices and 30 billion edges. Scalability was tested on IBM BlueGene/L with 32,768 nodes at the Lawrence Livermore National Laboratory. Scalability was obtained through a series of optimizations, in particular, those that ensure scalable use of memory. We use 2D (edge) partitioning of the graph instead of conventional 1D (vertex) partitioning to reduce communication overhead. For Poisson random graphs, we show that the expected size of the messages is scalable for both 2D and 1D partitionings. Finally, we have developed efficient collective communication functions for the 3D torus architecture of BlueGene/L that also take advantage of the structure in the problem. The performance and characteristics of the algorithm are measured and reported.
Learning approximate preconditions for methods in hierarchical plans
Authors: Okhtay Ilghami, Héctor Muñoz-Avila, Dana S. Nau, David W. Aha
Venue: Proceedings of the 22nd international conference on Machine learning (2005)

A significant challenge in developing planning systems for practical applications is the difficulty of acquiring the domain knowledge needed by such systems. One method for acquiring this knowledge is to learn it from plan traces, but this method typically requires a huge number of plan traces to converge. In this paper, we show that the problem with slow convergence can be circumvented by having the learner generate solution plans even before the planning domain is completely learned. Our empirical results show that these improvements reduce the size of the training set that is needed to find correct answers to a large percentage of planning problems in the test set.
AutoMAGI - an Autonomic middleware for enabling Mobile Access to Grid Infrastructure
Authors: Ali Sajjad, Hassan Jameel, Umar Kalim, Sang Man Han, Young-Koo Lee, Sungyoung Lee
Venue: Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services (2005)

Access to Grid services is currently limited to devices having substantial computing, network and memory resources such as PCs. On the other hand, most of mobile devices do not have enough capabilities to be either direct clients or services in the Grid environment. The existing middleware platforms like Globus do not fully address mobility, yet extending the potential of the Grid to a wider audience promises increase in its flexibility and productivity. Furthermore, the promising approach of autonomic computing holds the key to the self-management of such a multifarious undertaking and provides a way to further build upon this complexity without incurring additional drawbacks. In this paper we present AutoMAGI, an autonomic middleware that can handle the complexity of extending the potential of the Grid to a wider mobile audience, by incorporating the features of context-awareness, self-configuration, self-optimization, self-healing and self-protection in it. We address the issues of job delegation to a Grid service, support for offline processing, secure communication, interaction with heterogeneous mobile devices and presentation of results formatted in accordance with the device limitations.
A closer look at blended learning &mdash; parameters for designing a blended learning environment for language teaching and learning
Authors: Petra Neumeier
Venue: ReCALL (2005)

In the course of designing, writing and implementing CALL-supported material, it has become evident to me that a systematic investigation into the factors that shape the Blended Learning (BL) experience in the context of language learning and teaching is missing and urgently needed. The core question when designing a BL environment is: Which combination of modes provides the optimal basis for language learning and teaching given the particular conditions at hand? In order to tackle this question, course designers need a framework of parameters that help them decide on the individual, context-related implementation of BL. It is the purpose of this paper to put forward a definition of BL and a framework of parameters for designing a BL environment. In order to achieve a better understanding of the factors that shape the practice and the experience of BL, the main parameters which form a BL environment will be listed and specified. These parameters evolved from the experience of designing Jobline LMU (www.jobline.lmu.de) and will hopefully prove to be helpful for the process of designing other BL environments. If applied successfully, the idea of BL could serve as a bridge between the broader community of language teachers and learners and CALL experts and practitioners. BL offers the potential of broadening the scope and influence of CALL and of (re-)establishing it as an innovative component of general language teaching.