ppxscal/embedding_network huggingface dataset:
Vowels in Speaker Verification
Authors: Marcin Dominik Bugdol, Monika Natalia Bugdol
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

In the paper the possibility of using a single vowel in peoples’ identity verification process is described. The usage of sounds which period do not change over the whole duration time, allows applying Fourier series to its analysis. The amplitudes of consecutive harmonics as well as their frequencies are the basis of creating individual features’ vector. In order to record sounds of such characteristic, the acquisition process has been performed taking strict measurement’s assumption into consideration. The similarity measure of two vowels can be a coefficient which construction is based on the Euclidean distance with contribution of particular components.
Learning by combining observations and user edits
Authors: Vittorio Castelli, Lawrence Bergman, Daniel Oblinger
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generic architecture that supports seamless interweaving of automated learning from training samples and manual edits of the model, and we discuss the main difficulties that the framework addresses. We describe Augmentation-Based Learning (ABL), the first learning algorithm that supports interweaving of edits and learning from training samples. We use examples based on ABL to outline selected advantages of the approach--dealing with bad data by manually removing their effects from the model, and learning a model with fewer training samples.
PROCAIN server for remote protein sequence similarity search
Authors: Yong Wang, Ruslan I. Sadreyev, Nick V. Grishin
Venue: Bioinformatics (2009)

Sensitive and accurate detection of distant protein homology is essential for the studies of protein structure, function and evolution. We recently developed PROCAIN, a method that is based on sequence profile comparison and involves the analysis of four signals—similarities of residue content at the profile positions combined with three types of assisting information: sequence motifs, residue conservation and predicted secondary structure. Here we present the PROCAIN web server that allows the user to submit a query sequence or multiple sequence alignment and perform the search in a profile database of choice. The output is structured similar to that of BLAST, with the list of detected homologs sorted by E-value and followed by profile–profile alignments. The front page allows the user to adjust multiple options of input processing and output formatting, as well as search settings, including the relative weights assigned to the three types of assisting information. Availability: http://prodata.swmed.edu/procain/ Contact: grishin@chop.swmed.edu
Predicting Customer Models Using Behavior-Based Features in Shops
Authors: Junichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Kenro Aihara, Hideaki Takeda
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

Recent sensor technologies have enabled the capture of users' behavior data. Given the large amount of data currently available from sensor-equipped environments, it is important to attempt characterization of the sensor data for automatically modeling users in a ubiquitous and mobile computing environment. As described herein, we propose a method that predicts a customer model using features based on customers' behavior in a shop. We capture the customers' behavior using various sensors in the form of the time duration and the sequence between blocks in the shop. Based on behavior data from the sensors, we design features that characterize the behavior pattern of a customer in the shop. We employ those features using a machine learning approach to predict customer attributes such as age, gender, occupation, and interest. Our results show that our designed behavior-based features perform with F-values of 70---90% for prediction. We also discuss the potential applications of our method in user modeling.
Wavelet Neural Network Based on Modified PSO and Its Application in Pattern Recognition
Authors: Liu Ying, Liu Jie, Yan Bing, Mao Hongwei, Pan Hongxia, Zhang Yan
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

A modified particle swarm optimization--compound model PSO with stochastic inertia weigh is put forward and used to optimize the parameters of wavelet neural network. The trained wavelet neural-network is applied to the Iris classification experiment. The experimental result indicates that the wavelet neural-network training method based on the modified PSO is effective. This is an available approach to solve some problems, such as the pattern recognition, condition monitoring and fault diagnosis, etc.
Responsible Data Releases
Authors: Sanguthevar Rajasekaran, Ofer Harel, Michael Zuba, Greg Matthews, Robert Aseltine
Venue: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects (2009)

Data releases to the public should ensure the privacy of individuals involved in the data. Several privacy mechanisms have been proposed in the literature. One such technique is that of data anonymization. For example, synthetic data sets are generated and released. In this paper we analyze the privacy aspects of synthetic data sets. In particular, we introduce a natural notion of privacy and employ it for synthetic data sets.
7th international workshop on graphical documentation: documenting SOA-based systems
Authors: Scott Tilley, Stephany Bellomo
Venue: Proceedings of the 27th ACM international conference on Design of communication (2009)

Service-Oriented Architecture (SOA) is a way of designing, developing, deploying, and managing enterprise systems when business needs and technical solutions are closely aligned. SOA-based systems can be so large and complex, so the role of documentation as a means of conveying information about them is very important. Unfortunately, there is currently little concrete guidance available on how to do so effectively. This workshop will explore the current state-of-the-art and state-of-the-practice in documenting SOA-based systems. The goal is to learn from past experience in documenting other software-intensive systems, including the use of graphical documentation techniques relying on the Unified Modeling Language (UML), but taking into account the unique features and challenges inherent in SOA-based systems (e.g., properly documenting issues related to governance). This workshop is the 7th in a series of events exploring graphical documentation in the context of aiding system understanding.
Reuse with Software Components - A Survey of Industrial State of Practice
Authors: Rikard Land, Daniel Sundmark, Frank Lüders, Iva Krasteva, Adnan Causevic
Venue: Proceedings of the 11th International Conference on Software Reuse: Formal Foundations of Reuse and Domain Engineering (2009)

Software is often built from pre-existing, reusable components, but there is a lack of knowledge regarding how efficient this is in practice. In this paper we therefore present qualitative results from an industrial survey on current practices and preferences, highlighting differences and similarities between development with reusable components, development without reusable components, and development of components for reuse. Component reuse does happen, but the findings are still partly disappointing: currently, many potential benefits are not achieved. Still, the findings are encouraging: there are indeed good, reusable components properly verified and documented, and mature organizations who manage to reuse these components efficiently, e.g. by leveraging the previous component verification. We also find that replacing one component for another is not necessarily complicated and costly.
Haptic Interaction and Interactive Simulation in an AR Environment for Aesthetic Product Design
Authors: Monica Bordegoni, Francesco Ferrise, Marco Ambrogio
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

Market rules show that most of the times the aesthetic impact of a product is an important aspect that makes the difference in terms of success among different products. The product shape is generally created and represented during the conceptual phase of the product and the last trends show that the use of haptic devices allows users to more naturally and effectively interact with 3D models. Nevertheless the shape needs to satisfy some engineering requirements, and its aesthetic and functional analysis requires the collaboration and synchronization of activities performed by various experts having different competences and roles. This paper presents the description of an environment named PUODARSI that allows designers to modify the shape of a product and engineers to evaluate in real-time the impact of these changes on the structural and fluid dynamic properties of the product, describing the choice of the software tools, the implementation and some usability tests.
Cascade Chinese Potential Name Recognition
Authors: Liu Hongjian, Guo Defeng, Zhou Quan, Nagamatsu Kenji, Sun Qinghua
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

In this paper, cascade Chinese potential name recognition is proposed. Internal information of a person like family name, first name do not needed for name recognition while context keywords is used for name guessing. Some conceptions such as bidirectional potential name recognition, rough confirmation of potential name, segmentation word, cascade recognition and final person name confirmation is proposed. Experiment proves that the method presented in this paper have a special advantage in recognition on foreign translation name, special name, combinational name, ambiguity name, irregular name etc. The method can be taken as a pre-processing method of other person name recognition method with using internal name information. The method in the paper is not limit to Chinese name recognition but also can be generalized to other named entity identification.
A Flexible Framework for Complete Session Mobility and Its Implementation
Authors: Marc Barisch, Jochen Kögel, Sebastian Meier
Venue: Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop on The Internet of the Future (2009)

Users with several devices need a convenient mechanism to transfer running service sessions from one device to another device. This paper proposes a framework that allows session mobility without modifications on the communication partner's system from application layer down to network layer. That means we can transfer ongoing sessions with minor interruptions of the communication and thus call it complete session mobility. Due to the framework's flexibility we support a multitude of technologies across all layers. The architecture has been verified by a prototype that has been implemented on a Linux system.
From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-document Similarities
Authors: Anna Khudyak Kozorovitzky, Oren Kurland
Venue: Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory (2009)

We present a novel approach to fusing document lists that are retrieved in response to a query. Our approach is based on utilizing information induced from inter-document similarities. Specifically, the key insight guiding the derivation of our methods is that similar documents from different lists can provide relevance-status support to each other. We use a graph-based method to model relevance-status propagation between documents. The propagation is governed by inter-document-similarities and by retrieval scores of documents in the lists. Empirical evaluation shows the effectiveness of our methods in fusing TREC runs.
Computational Aesthetics 2008: Balancing the expected and the surprising in geometric patterns
Authors: N. A. Dodgson
Venue: Computers and Graphics (2009)

I investigate the trade-off between the expected and the surprising in certain geometric patterns. This work is inspired by Bridget Riley's early Op art pieces, White Discs 2 (1964) and Fragment 6/9 (1965). I analyse these two works, investigate a range of variants, and propose hypotheses about the perceptual effects in patterns like these. The key hypothesis is that there is an aesthetically interesting range where between a quarter and a half of a regular pattern is adjusted in some way. I report on a perceptual experiment that tests and supports this hypothesis, and discuss the implications.
Localised Mixture Models in Region-Based Tracking
Authors: Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and background region. However, if the appearance is spatially varying, simple homogeneous models are often inaccurate. Gaussian mixture models can take multimodal distributions into account, yet they still neglect the positional information. In this paper, we propose localised mixture models (LMMs) and evaluate this idea in the scope of model-based tracking by automatically partitioning the fore- and background into several subregions. In contrast to background subtraction methods, this approach also allows for moving backgrounds. Experiments with a rigid object and the HumanEva-II benchmark show that tracking is remarkably stabilised by the new model.
Variable Precision Neighborhood Rough Set Based Feature Selection for Credit Scoring
Authors: Ping Yao
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

As the credit industry has been growing rapidly, huge number of consumers’ credit data are collected by the credit department of the bank and credit scoring has become a very important issue. Usually, a large amount of redundant information and features are involved in the credit dataset, which leads to lower accuracy and higher complexity of the credit scoring model, so, effective feature selection methods are necessary for credit dataset with huge number of features. This paper aims at comparing seven well-known feature selection methods for credit scoring. Which are t-test, principle component analysis (PCA), factor analysis (FA), stepwise regression, Rough Set (RS), Classification and regression tree (CART) and Multivariate adaptive regression splines (MARS). Support vector machine (SVM) is used as the classification model. Two credit scoring databases are used in order to provide a reliable conclusion. Regarding the experimental results, the CART and MARS methods outperform the other methods by the overall accuracy and type I error and type II error.
Using first and second language models to correct preposition errors in second language authoring
Authors: Matthieu Hermet, Alain Désilets
Venue: Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications (2009)

In this paper, we investigate a novel approach to correcting grammatical and lexical errors in texts written by second language authors. Contrary to previous approaches which tend to use unilingual models of the user's second language (L2), this new approach uses a simple roundtrip Machine Translation method which leverages information about both the author's first (L1) and second languages. We compare the repair rate of this roundtrip translation approach to that of an existing approach based on a unilingual L2 model with shallow syntactic pruning, on a series of preposition choice errors. We find no statistically significant difference between the two approaches, but find that a hybrid combination of both does perform significantly better than either one in isolation. Finally, we illustrate how the translation approach has the potential of repairing very complex errors which would be hard to treat without leveraging knowledge of the author's L1.
Foundations in Grammatical Evolution for Dynamic Environments, 1st edition
Authors: Ian Dempsey, Michael O'Neill, Anthony Brabazon
Venue:  (2009)

Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.
The Design of Asynchronous Microprocessor Based on Optimized NCL_X Design-Flow
Authors: Gang Jin, Lei Wang, Zhiying Wang
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

NCL X circuit is a very efficient way to implement the QDI circuit, which can get all the advantages of the asynchronous circuit, especially the average performance. But the NCL_X circuits suffer from its huge area overhead.To solve this problem, a method for optimizing the complete detection network in the NCL_X circuit has been introduced in this paper. Using this method can dramatically reduced the area of the NCL_X circuit, according to the experimental result, the area of the NCL_Xcircuit may be reduced more than 60%. We also use this optimized method to implement an asynchronous microprocessor pipeline (APC). Compared to the synchronous implementation, this NCL_X implementation can achieve higher performance because the NCL_X circuit can get the average performance.
An Empirical Evaluation of XML Compression Tools
Authors: Sherif Sakr
Venue: Database Systems for Advanced Applications: DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, Brisbane, Australia, April 20 - 23, 2009 (2009)

This paper presents an extensive experimental study of the state-of-the-art of XML compression tools. The study reports the behavior of nine XML compressors using a large corpus of XML documents which covers the different natures and scales of XML documents. In addition to assessing and comparing the performance characteristics of the evaluated XML compression tools, the study tries to assess the effectiveness and practicality of using these tools in the real world. Finally, we provide some guidelines and recommendations which are useful for helping developers and users for making an effective decision for selecting the most suitable XML compression tool for their needs.
Reasoning about Entanglement and Separability in Quantum Higher-Order Functions
Authors: Frédéric Prost, Chaouki Zerrari
Venue: Proceedings of the 8th International Conference on Unconventional Computation (2009)

We present a logical approach to the separability analysis issue for a functional quantum computation language. This logic is inspired by previous works on logical analysis of aliasing for imperative functional programs. Both analyses share similarities notably because they are highly non-compositional. Nevertheless, the intrisic non determinism of quantum computation has a large impact on the definitions of the semantics and the validity of logical assertions. To the knowledge of the authors, it is the first proposal of an entanglement/separability analysis for a functional quantum programming language with higher-order functions.
An Improved Drop-fall Algorithm Based on Background Analysis for Handwritten Digits Segmentation
Authors: Ma Rui, Du Jie, Gu Yunhua, Yan Yunyang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

Among several contour splitting algorithms, Drop-fall algorithm has shown good performance, but it is defective in locating the start point of the algorithm and the seeping process in vertical direction inside character stroke block. For the purpose of solving the problems produced by the defections, in this paper Drop-fall algorithm is improved by citing water reservoir concept to use the information coming from the background region of touching digits. On the basis of the topological features of background region, the range of searching start point in algorithm is dictated and the optimal position for the seeping process is determined. For connected digits sharing a long stroke segment, instead of the seeping process in vertical direction, centerline is extracted from common touching area to be used as a long tilt path which is cutting across the black block when the drop enters the junction of connected digits. Experimental results show that the improved algorithm obtains more satisfied segmentation and works better than former.
An Imitative Full Stress Genetic Algorithm for Structural Optimization with Discrete Variables
Authors: Guo Pengfei, Wang Xuezhi, Han Yingshi
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

On the basis of full-stress design, an imitative full-stress design method was presented for structural optimum design with discrete variables .The structural optimum design with discrete variables under stress and section size constraints could be directly calculated by this method. Through defining an imitative full-stress design operator in the genetic algorithm, a hybrid genetic algorithm for structural optimization with discrete variables, combined the advances of both genetic algorithm and the imitative full-stress design method, is presented in this paper. The numerical results show that the method is superior to the genetic algorithm and the imitative full-stress design method.
A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods
Authors: Bernhard Brühl, Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith
Venue: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects (2009)

In this contribution, various sales forecast models for the German automobile market are developed and tested. Our most important criteria for the assessment of these models are the quality of the prediction as well as an easy explicability. Yearly, quarterly and monthly data for newly registered automobiles from 1992 to 2007 serve as the basis for the tests of these models. The time series model used consists of additive components: trend, seasonal, calendar and error component. The three latter components are estimated univariately while the trend component is estimated multivariately by Multiple Linear Regression as well as by a Support Vector Machine. Possible influences which are considered include macro-economic and market-specific factors. These influences are analysed by a feature selection. We found the non-linear model to be superior. Furthermore, the quarterly data provided the most accurate results.