ppxscal/embedding_network huggingface dataset:
Histogram remapping as a preprocessing step for robust face recognition
Authors: Vitomir Struc, Janez Zibert, Nikola Pavesic
Venue: WSEAS Transactions on Information Science and Applications (2009)

Image preprocessing techniques represent an essential part of a face recognition systems, which has a great impact on the performance and robustness of the recognition procedure. Amongst the number of techniques already presented in the literature, histogram equalization has emerged as the dominant preprocessing technique and is regularly used for the task of face recognition. With the property of increasing the global contrast of the facial image while simultaneously compensating for the illumination conditions present at the image acquisition stage, it represents a useful preprocessing step, which can ensure enhanced and more robust recognition performance. Even though, more elaborate normalization techniques, such as the multiscale retinex technique, isotropic and anisotropic smoothing, have been introduced to field of face recognition, they have been found to be more of a complement than a real substitute for histogram equalization. However, by closer examining the characteristics of histogram equalization, one can quickly discover that it represents only a specific case of a more general concept of histogram remapping techniques (which may have similar characteristics as histogram equalization does). While histogram equalization remapps the histogram of a given facial image to a uniform distribution, the target distribution could easily be replaced with an arbitrary one. As there is no theoretical justification of why the uniform distribution should be preferred to other target distributions, the question arises: how do other (non-uniform) target distributions influence the face recognition process and are they better suited for the recognition task. To tackle this issues, we present in this paper an empirical assessment of the concept of histogram remapping with the following target distributions: the uniform, the normal, the lognormal and the exponential distribution. We perform comparative experiments on the publicly available XM2VTS and YaleB databases and conclude that similar or even better recognition results that those ensured by histogram equalization can be achieved when other (non-uniform) target distribution are considered for the histogram remapping. This enhanced performance, however, comes at a price, as the nonuniform distributions rely on some parameters which have to be trained or selected appropriately to achieve the optimal performance.
Effect of high-temperature annealing on lanthanum aluminate thin films grown by ALD on Si(100)
Authors: G. Congedo, S. Spiga, L. Lamagna, A. Lamperti, Yu. Lebedinskii, Yu. Matveyev, A. Zenkevich, P. Chernykh, M. Fanciulli
Venue: Microelectronic Engineering (2009)

Amorphous lanthanum aluminate thin films were deposited by atomic layer deposition on Si(100) using La(^iPrCp)"3, Al(CH"3)"3 and O"3 species. The effects of post-deposition rapid thermal annealing on the physical and electrical properties of the films were investigated. High-temperature annealing at 900^oC in N"2 atmosphere leads to the formation of amorphous La-aluminosilicate due to Si diffusion from the substrate. The annealed oxide exhibits a uniform composition through the film thickness, a large band gap of 7.0+/-0.1eV, and relatively high dielectric constant (@k) of 18+/-1.
An interval-based approach for fault isolation and identification in continuous dynamic systems
Authors: Esteban R. Gelso, Sandra M. Castillo, Joaquim Armengol
Venue: Proceeding of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (2008)

Diagnosis of faults is a very important task because a fault can lead to a reduction in performance, or even to break-downs or catastrophes. In this paper, a diagnosis system, which takes into account the uncertainties in the model and measurements by means of an interval scheme, is shown. It states the fault detection, fault isolation and fault identification problems as a constraint satisfaction problem (CSP) with continuous domain. The fault isolation scheme which consists of hypothesis generation and refinement uses the fault detection results, and the quantitative fault identification scheme refines the fault hypothesis test and estimates the fault magnitude. As a difference to more traditional approaches, in this paper we use overconstrained subsystems of the model, ARRs, to tackle the fault identification problem in smaller subproblems, and for the fault identification, instead of the least squares estimation, the interval-based consistency techniques prune the initial domains of the parameters associated with the fault hypothesis. In order to illustrate the different steps of the proposed approach, an application example composed by a well known hydraulic plant is presented.
Application of image texture analysis to improve land cover classification
Authors: Xiaochen Zou, Daoliang Li
Venue: WSEAS Transactions on Computers (2009)

Image texture analysis has received a considerable amount of attention over the last few years as it has played an important role in the classification of the remote sensing images. This paper provides an overview of several different approaches to image texture analysis and demonstrates their use on the problem of land cover classification. We used grey level co-occurrence matrix (GLCM) method to assistant the land cover classification and then compared and evaluated all of the result of classifications. In the experimentation, by comparing the classification result of contrast, energy and entropy we find out that the preferable texture features of grey level co-occurrence matrices method was contrast. In this thesis, it used the feature images helping the classification of remote sensing and obtained good result. And it also used C++ programming language to write a programme to compute the number of the feature of texture.
A joint statistical model for simultaneous word spacing and spelling error correction for Korean
Authors: Hyungjong Noh, Jeong-Won Cha, Gary Geunbae Lee
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

This paper presents noisy-channel based Korean preprocessor system, which corrects word spacing and typographical errors. The proposed algorithm corrects both errors simultaneously. Using Eojeol transition pattern dictionary and statistical data such as Eumjeol n-gram and Jaso transition probabilities, the algorithm minimizes the usage of huge word dictionaries.
Managing Interactive Media Projects, 1st edition
Authors: Tim Frick
Venue:  (2007)

From the birth of a media project idea to the implementation and maintenance of that project, this book provides the skills and know-how to master the process of managing interactive media projects. Managing Interactive Media Projects offers important insights and techniques for various approaches to the process of creating interactive media. It covers the ever-important steps of planning, documenting, writing, designing, implementing, testing, debugging and maintaining interactive media projects that range from web sites and online media to DVDs, CD-ROMs and Flash. Detailed breakdowns of key steps in developing interactive projects coupled with in-depth case studies and digital supplemental materials make it a valuable resource in today's creative market. Written in a cohesive yet easy to understand manner, this book will transform the daily drudgery of technical specifications and documentation into an easy-to-implement process that will help readers to surpass even their own expectations on their interactive media projects. 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
Computer Security on the Edge, 1st edition
Authors: Doug Tygar, Adrian Perrig, D. T. Lee, S. P. Shieh
Venue:  (2007)

This book is a series of related chapters on advanced topics in computer security for researchers in computer and electrical engineering. Original contributions are edited and invited from members of the TRUST project, a major NSF-funded researchgrant focusing on the themes of identity theft, privacy and medical records, malware, computer network defense, secure sensor webs, secure embedded systems, and large scale systems. The editors are among the authors represented in the contributions.
Enhancement of adaptive de-correlation filtering separation model for robust speech recognition
Authors: Yunxin Zhao
Venue:  (2007)

The development of automatic speech recognition (ASR) technology has enabled an increasing number of applications, such as dictation, call routing, broadcast news and medical transcriptions, and voice control, etc. However, the robustness of ASR under real acoustic environments still remains to be a challenge for practical applications. Interfering speech and background noise have severe degrading effects on ASR. Speech source separation separates target speech from interfering speech but its performance is affected by adverse environmental conditions of acoustical reverberation and background noise. This dissertation works on the enhancement of a speech source separation technique, namely adaptive de-correlation filtering (ADF), for robust ASR applications. To overcome these difficulties and develop practical ADF speech separation algorithms for robust ASR, enhancement and improvement are introduced in several aspects. From the perspectives of speech spectral characteristics, the procedures of pre-whitening are applied to flatten the long-term spectral tilt for the improvement of adaptation robustness and decrease of convergence ADF estimation error. To speedup convergence rate, block-iterative implementation and variable step-size (VSS) methods are proposed. To exploit scenarios where multiple pairs of sensors are available, multi-ADF post-processing is developed. To overcome the limitations of ADF separation model under background noise, procedures of noise-compensation (NC) and adaptive speech enhancement are proposed for the achievement of improved robustness in diffuse noise. Speech separation simulations and speech recognition experiments are carried out based on TIMIT database and ATR acoustic measurement database. Evaluations of the methods presented in this dissertation demonstrate significant improvement of performances over baseline ADF algorithm in speech separation and recognition.
The suitability of statistical distribution in fitting wind speed data
Authors: Azami Zaharim, Siti Khadijah Najid, Ahmad Mahir Razali, Kamaruzzaman Sopian
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

Wind energy has been used for navigation and agriculture. Recently, wind energy is given a lot of attention because of the focus on renewable energy. Wind energy growth in Asia is currently on the rise. Both India and China are leading with more installed capacity and manufacturing facilities. In Malaysia, wind energy conversion is also given a serious consideration. The potential for wind energy generation in Malaysia depends on the availability of the wind resource that varies with specific location. This paper deals with how to model or how to fit several probability distribution models to Malaysia wind speed data available. As usually described in the literature concerning efforts to develop an adequate statistical model for wind speed, there are a few statistical models discussed such as Weibull Distribution and Rayleigh Distribution. In the literature, it is a common procedure to compare these functions to determine which one fits the measured distribution best. The result from a simple descriptive statistics shows that Weibull distribution might be the probability distribution that can fit the data well.
CROC
Authors: Miguel Pignatelli, Florenci Serras, Andrés Moya, Roderic Guigó, Montserrat Corominas
Venue: Bioinformatics (2009)

Summary: There is increasing evidence showing that co-expression of genes that cluster along the genome is a common characteristic of eukaryotic transcriptomes. Several algorithms have been used to date in the identification of these kinds of gene organization. Here, we present a web tool called CROC that aims to help in the identification and analysis of genomic gene clusters. This method has been successfully used before in the identification of chromosomal clusters in different eukaryotic species. Availability: The web server is freely available to non-commercial users at the following address: http://metagenomics.uv.es/CROC/ Contact: miguel.pignatelli@uv.es
Basic influence diagrams and the liberal stable semantics
Authors: Paul-Amaury Matt, Francesca Toni
Venue: Proceeding of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008 (2008)

This paper is concerned with the general problem of constructing decision tables and more specifically, with the identification of all possible outcomes of decisions. We introduce and propose basic influence diagrams as a simple way of describing problems of decision making under strict uncertainty. We then establish a correspondence between basic influence diagrams and symmetric generalised assumption-based argumentation frameworks and adopt an argumentation-based approach to identify the possible outcomes. We show that the intended solutions are best characterised using a new semantics that we call liberal stability. We finally present a number of theoretical results concerning the relationships between liberal stability and existing semantics for argumentation.
Sub-sentential alignment using substring co-occurrence counts
Authors: Fabien Cromieres
Venue: Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (2006)

In this paper, we will present an efficient method to compute the co-occurrence counts of any pair of substring in a parallel corpus, and an algorithm that make use of these counts to create sub-sentential alignments on such a corpus. This algorithm has the advantage of being as general as possible regarding the segmentation of text.
Visual-Analytics Evaluation
Authors: Catherine Plaisant, Georges Grinstein, Jean Scholtz
Venue: IEEE Computer Graphics and Applications (2009)

This special issue consists of four articles on the evaluation of visual-analytic tools. The articles address these evaluation aspects: synthetic-data-set generation and use, design guidelines, insight characterization and measurement, and tools for capturing users' reasoning during use.
u-Vote: a convenient on-line e-voting system
Authors: Francesca Merighi, Stefano Ravaioli
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

This paper presents u-Vote, an e-voting system mainly for local and nationwide university elections, that can provide both poll site, kiosk and remote internet voting channels. u-Vote has been implemented since 2005 and is currently under Italian Ministry of University and Research certification process. u-Vote doesn't claim to be the most accurate and secure e-voting system: u-Vote is an on-line e-voting system that grants reliability, accuracy and privacy in defined contexts, in compliant with the standards on e-voting proposed by the Council of Europe's Committee of Ministers.
Performance Measurements of Tor Hidden Services in Low-Bandwidth Access Networks
Authors: Jörg Lenhard, Karsten Loesing, Guido Wirtz
Venue: Proceedings of the 7th International Conference on Applied Cryptography and Network Security (2009)

Being able to access and provide Internet services anonymously is an important mechanism to ensure freedom of speech in vast parts of the world. Offering location-hidden services on the Internet requires complex redirection protocols to obscure the locations and identities of communication partners. The anonymity system Tor supports such a protocol for providing and accessing TCP-based services anonymously. The complexity of the hidden service protocol results in significantly higher response times which is, however, a crucial barrier to user acceptance. This communication overhead becomes even more evident when using limited access networks like cellular phone networks. We provide comprehensive measurements and statistical analysis of the bootstrapping of client processes and different sub-steps of the Tor hidden service protocol under the influence of limited access networks. Thereby, we are able to identify bottlenecks for low-bandwidth access networks and to suggest improvements regarding these networks.
Power Estimation of a C Algorithm Based on the Functional-Level Power Analysis of a Digital Signal Processor
Authors: Nathalie Julien, Johann Laurent, Eric Senn, Eric Martin
Venue: Proceedings of the 4th International Symposium on High Performance Computing (2009)

A complete methodology to estimate power consumption at the C-level for on-the-shelf processors is introduced. It relies on the Functional-Level Power Analysis, which results in a power model of the processor that describes the consumption variations relatively to algorithmic and configuration parameters. Some parameters can be predicted directly from the C-algorithm with simple assumptions on the compilation. Maximum and minimum bounds for power consumption are obtained, together with a very accurate estimation; for the TI C6x, a maximum error of 6% against measurements is obtained for classical digital signal processing algorithms. Estimation results are summarized on a consumption map; the designer can compare the algorithm consumption, and its variations, with the application constraints.
Solid-fluid diffuse interface model in cases of extreme deformations
Authors: N. Favrie, S. L. Gavrilyuk, R. Saurel
Venue: Journal of Computational Physics (2009)

Diffuse interface methods have been recently proposed and successfully used for accurate compressible multi-fluid computations Abgrall [1]; Kapila et al. [20]; Saurel et al. [30]. These methods deal with extended systems of hyperbolic equations involving a non-conservative volume fraction equation and relaxation terms. Following the same theoretical frame, we derive here an Eulerian diffuse interface model for elastic solid-compressible fluid interactions in situations involving extreme deformations. Elastic effects are included following the Eulerian conservative formulation proposed in Godunov [16], Miller and Colella [23], Godunov and Romenskii [17], Plohr and Plohr [27] and Gavrilyuk et al. [14]. We apply first the Hamilton principle of stationary action to derive the conservative part of the model. The relaxation terms are then added which are compatible with the entropy inequality. In the limit of vanishing volume fractions the Euler equations of compressible fluids and a conservative hyperelastic model are recovered. It is solved by a unique hyperbolic solver valid at each mesh point (pure fluid, pure solid and mixture cell). Capabilities of the model and methods are illustrated on various tests of impacts of solids moving in an ambient compressible fluid.
Predicting functionality of protein–DNA interactions by integrating diverse evidence
Authors: Duygu Ucar, Andreas Beyer, Srinivasan Parthasarathy, Christopher T. Workman
Venue: Bioinformatics (2009)

Chromatin immunoprecipitation (ChIP-chip) experiments enable capturing physical interactions between regulatory proteins and DNA in vivo. However, measurement of chromatin binding alone is not sufficient to detect regulatory interactions. A detected binding event may not be biologically relevant, or a known regulatory interaction might not be observed under the growth conditions tested so far. To correctly identify physical interactions between transcription factors (TFs) and genes and to determine their regulatory implications under various experimental conditions, we integrated ChIP-chip data with motif binding sites, nucleosome occupancy and mRNA expression datasets within a probabilistic framework. This framework was specifically tailored for the identification of functional and non-functional DNA binding events. Using this, we estimate that only 50% of condition-specific protein–DNA binding in budding yeast is functional. We further investigated the molecular factors determining the functionality of protein–DNA interactions under diverse growth conditions. Our analysis suggests that the functionality of binding is highly condition-specific and highly dependent on the presence of specific cofactors. Hence, the joint analysis of both, functional and non-functional DNA binding, may lend important new insights into transcriptional regulation. Contact: workman@cbs.dtu.dk
EarthTutor: A Multi-Layered Approach to ITS Authoring
Authors: Kristen Parton, Aaron Bell, Sowmya Ramachandran
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

This paper presents the EarthTutor authoring tool, a multi-layered system designed to remove the technical hurdles preventing teachers from having full control over the structure of their lessons, without sacrificing the power and technical flexibility required for an effective ITS implementation. EarthTutor reduces the ITS design problem to a series of related but independent layers. Each layer in the process hides the implementation details of lower layers, while providing a foundation for higher levels. This approach allows a core group of advanced authors to do the more complex authoring tasks and export their work to a wider audience of novice authors, who complete the authoring process.
Brief paper: Robust sampled-data H∞ control with stochastic sampling
Authors: Huijun Gao, Junli Wu, Peng Shi
Venue: Automatica (Journal of IFAC) (2009)

In this paper, the problem of robust H"~ control is investigated for sampled-data systems with probabilistic sampling. The parameter uncertainties are time-varying norm-bounded and appear in both the state and input matrices. For the simplicity of technical development, only two different sampling periods are considered whose occurrence probabilities are given constants and satisfy Bernoulli distribution, which can be further extended to the case with multiple stochastic sampling periods. By applying an input-delay approach, the probabilistic sampling system is transformed into a continuous time-delay system with stochastic parameters in the system matrices. By linear matrix inequality (LMI) approach, sufficient conditions are obtained, which guarantee the robust mean-square exponential stability of the system with an H"~ performance. Moreover, an H"~ controller design procedure is then proposed. An illustrative example is included to demonstrate the effectiveness of the proposed techniques.