ppxscal/embedding_network huggingface dataset:
Privacy-preserving indexing of documents on the network
Authors: Mayank Bawa, Roberto J. Bayardo,  Jr, Rakesh Agrawal, Jaideep Vaidya
Venue: The VLDB Journal &mdash; The International Journal on Very Large Data Bases (2009)

With the ubiquitous collection of data and creation of large distributed repositories, enabling search over this data while respecting access control is critical. A related problem is that of ensuring privacy of the content owners while still maintaining an efficient index of distributed content. We address the problem of providing privacy-preserving search over distributed access-controlled content. Indexed documents can be easily reconstructed from conventional (inverted) indexes used in search. Currently, the need to avoid breaches of access-control through the index requires the index hosting site to be fully secured and trusted by all participating content providers. This level of trust is impractical in the increasingly common case where multiple competing organizations or individuals wish to selectively share content. We propose a solution that eliminates the need of such a trusted authority. The solution builds a centralized privacy-preserving index in conjunction with a distributed access-control enforcing search protocol. Two alternative methods to build the centralized index are proposed, allowing trade offs of efficiency and security. The new index provides strong and quantifiable privacy guarantees that hold even if the entire index is made public. Experiments on a real-life dataset validate performance of the scheme. The appeal of our solution is twofold: (a) content providers maintain complete control in defining access groups and ensuring its compliance, and (b) system implementors retain tunable knobs to balance privacy and efficiency concerns for their particular domains.
Automated team discourse annotation and performance prediction using LSA
Authors: Melanie J. Martin, Peter W. Foltz
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

We describe two approaches to analyzing and tagging team discourse using Latent Semantic Analysis (LSA) to predict team performance. The first approach automatically categorizes the contents of each statement made by each of the three team members using an established set of tags. Performance predicting the tags automatically was 15% below human agreement. These tagged statements are then used to predict team performance. The second approach measures the semantic content of the dialogue of the team as a whole and accurately predicts the team's performance on a simulated military mission.
Loss-sensitive discriminative training of machine transliteration models
Authors: Kedar Bellare, Koby Crammer, Dayne Freitag
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium (2009)

In machine transliteration we transcribe a name across languages while maintaining its phonetic information. In this paper, we present a novel sequence transduction algorithm for the problem of machine transliteration. Our model is discriminatively trained by the MIRA algorithm, which improves the traditional Perceptron training in three ways: (1) It allows us to consider k-best transliterations instead of the best one. (2) It is trained based on the ranking of these transliterations according to user-specified loss function (Levenshtein edit distance). (3) It enables the user to tune a built-in parameter to cope with noisy non-separable data during training. On an Arabic-English name transliteration task, our model achieves a relative error reduction of 2.2% over a perceptron-based model with similar features, and an error reduction of 7.2% over a statistical machine translation model with more complex features.
Local Patch Blind Spectral Watermarking Method for 3D Graphics
Authors: Ming Luo, Kai Wang, Adrian G. Bors, Guillaume Lavoué
Venue: Proceedings of the 8th International Workshop on Digital Watermarking (2009)

In this paper, we propose a blind watermarking algorithm for 3D meshes. The proposed algorithm embeds spectral domain constraints in segmented patches. After aligning the 3D object using volumetric moments, the patches are extracted using a robust segmentation method which ensures that they have equal areas. One bit is then embedded in each patch by enforcing specific constraints in the distribution of its spectral coefficients by using Principal Component Analysis (PCA). A series of experiments and comparisons with state-of-the-art in 3D graphics watermarking have been performed; they show that the proposed scheme provides a very good robustness against both geometry and connectivity attacks, while introducing a low level of dis torsion.
L-Cover: Preserving Diversity by Anonymity
Authors: Lei Zhang, Lingyu Wang, Sushil Jajodia, Alexander Brodsky
Venue: Proceedings of the 6th VLDB Workshop on Secure Data Management (2009)

To release micro-data tables containing sensitive data, generalization algorithms are usually required for satisfying given privacy properties, such as k-anonymity and l-diversity. It is well accepted that k-anonymity and l-diversity are proposed for different purposes, and the latter is a stronger property than the former. However, this paper uncovers an interesting relationship between these two properties when the generalization algorithms are publicly known. That is, preserving l-diversity in micro-data generalization can be done by preserving a new property, namely, l-cover, which is to satisfy l-anonymity in a special way. The practical impact of this discovery is that it may potentially lead to better heuristic generalization algorithms in terms of efficiency and data utility, that remain safe even when publicized.
Landslide Stability Analysis Based on Generalized Information Entropy
Authors: Shi Yufeng, Jin Fengxiang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Landslide is a kind of serious geologic disaster. In the viewpoint of system theory, the landslides may be regarded as a nonlinear open system, and they are ceaselessly exchanging information and energy with their surrounding environment and inside of themselves. The occurrence of landslide is due to the energy the landslides obtain from the environment, and then the states of landslide triggering factors will be changed from disorder to order. Based on information theory, this paper presents a novel landslide stability analysis approach, that is, generalized information entropy approach. First of all, the surveying data time series of landslide triggering factors should be transformed into serial data on probability, and then the generalized information entropy of these landslide triggering factors can be evaluated by these probability serial data. From the change of generalized information entropy, it can be seen that there is a sudden increase of generalized information entropy before landslide occurs, and then generalized information entropy trends to stationary change after landslide occurs.
Multilingual subjectivity analysis using machine translation
Authors: Carmen Banea, Rada Mihalcea, Janyce Wiebe, Samer Hassan
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

Although research in other languages is increasing, much of the work in subjectivity analysis has been applied to English data, mainly due to the large body of electronic resources and tools that are available for this language. In this paper, we propose and evaluate methods that can be employed to transfer a repository of subjectivity resources across languages. Specifically, we attempt to leverage on the resources available for English and, by employing machine translation, generate resources for subjectivity analysis in other languages. Through comparative evaluations on two different languages (Romanian and Spanish), we show that automatic translation is a viable alternative for the construction of resources and tools for subjectivity analysis in a new target language.
Establishing a Framework for Dynamic Risk Management in `Intelligent' Aero-Engine Control
Authors: Zeshan Kurd, Tim Kelly, John Mcdermid, Radu Calinescu, Marta Kwiatkowska
Venue: Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security (2009)

The behaviour of control functions in safety critical software systems is typically bounded to prevent the occurrence of known system level hazards. These bounds are typically derived through safety analyses and can be implemented through the use of necessary design features. However, the unpredictability of real world problems can result in changes in the operating context that may invalidate the behavioural bounds themselves, for example, unexpected hazardous operating contexts as a result of failures or degradation. For highly complex problems it may be infeasible to determine the precise desired behavioural bounds of a function that addresses or minimises risk for hazardous operation cases prior to deployment. This paper presents an overview of the safety challenges associated with such a problem and how such problems might be addressed. A self-management framework is proposed that performs on-line risk management. The features of the framework are shown in context of employing intelligent adaptive controllers operating within complex and highly dynamic problem domains such as Gas-Turbine Aero Engine control. Safety assurance arguments enabled by the framework necessary for certification are also outlined.
CompTIA Network+ Study Guide: Exam N10-004
Authors: Todd Lammle
Venue:  (2009)

Bestselling author Todd Lammle thoroughly covers this first revision of the CompTIA Network+ exam since 2005. Using his one-of-a-kind conversational style, Todd gives you clear and concise information on crucial networking topics through practical examples and insights drawn from his real-world experience. This Study Guide thoroughly covers all exam objectives for the CompTIA Network+ exam (N10-004), including key topics such as network technologies, media and topologies, devices, management, tools, and security. Along with the book you get a CD-ROM featuring a custom test engine with chapter review questions, two practice exams, flashcards, and the book as a searchable PDF.
Customer Boards as Vehicles of Change in Enterprise Software User Experience
Authors: Anna M. Wichansky
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

Traditional user-centered design processes do not leverage long-term customer-vendor relationships as a means of improving product usability. While designing a next-generation applications software suite, Oracle reached out to its most-involved customers for creative solutions to common user-experience issues. The mission of the Oracle Usability Advisory Board was to take enterprise software to a whole new level in usability. The board consisted of executives and senior managers primarily in information technology positions in different types of organizations. The board identified three major areas where it wanted to improve usability: consistency and design, integration and performance, and Web 2.0. Through various working groups, the board has developed tools for obtaining customer feedback on product usability, online seminars on technical topics, and outreach mechanisms to other customers. The board has effectively become Oracle's partner in ensuring product understanding and use, thus setting the stage for improved usability in the next-generation product.
Cheating Behaviors in Online Gaming
Authors: Henry Been-Lirn Duh, Vivian Hsueh Chen
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

Online game cheating is a rampant misbehavior in the domain of online gaming. However, there is still lack of research in attempt to understand online game cheating. Hence, this paper focuses on the available literature on cheating and gaming to explore and understand the phenomenon of online game cheating. This paper examines the frameworks of cheating and how virtual community is affected by this misbehavior. This paper also explores the concept of fairness in gaming. The implications are discussed in conclusion.
Supporting Personalized User Concept Spaces and Recommendations for a Publication Sharing System
Authors: Antonina Dattolo, Felice Ferrara, Carlo Tasso
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

Current publication sharing systems weakly support creation and personalization of customized user concept spaces. Focusing the attention on the user, SharingPapers, the adaptive publication sharing system proposed in this paper, allows users to organize documents in flexible and dynamic concept spaces; to merge their concept map with a social network connecting people involved in the domain of interest; to support knowledge expansion generating adaptive recommendations. SharingPapers presents a multi-agent architecture and proposes a new way of representing user profiles, their evolution and views of them.
Rapidly Building Multimedia Management Interfaces for Ubiquitous Computing Services
Authors: Ichiro Satoh
Venue: Proceedings of the 2009 First International Conference on Advances in Multimedia (2009)

This paper presents a component framework for building and operating multimedia interfaces for context-aware services in smart spaces. By using a compound-document technology, it provides physical entities, places, and services in smart spaces with multimedia components to annotate and control them. It can automatically assemble multimedia components into a multimedia interface for monitoring and managing the spaces according to the spatial containment relationships between their targets in the physical world by using underlying location-sensing systems. End-users can manually customize smart spaces through user-friendly GUI-based manipulations for editing documents. This paper presents the design for this framework and describes its implementation and practical application.
Toggle strategies for the POI selection via the iDrive controller
Authors: Ronald Ecker, Verena Broy, Nina Joshi
Venue: Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications (2009)

The importance of spatial and geo-based information has increased over the last few years. The most prevalent example of this kind of information is points of interest (POI) like hotels, restaurants, gas stations, etc. As cars are made for individual transportation, interacting with geo-based information via the In-vehicle Information System (IVIS) should be possible. At present, state-of-the-art IVIS only permit a list based or center based selection on the map, which makes it difficult to handle a high closeness of geo-based data. In this paper, we present alternative approaches for selecting geo-based data with a multifunctional controller. In our work, visual cues help users predict the selection order. An explorative user study showed potential advantages of our concepts.
A Service Stack for 3D Visualization of GIS Based Urban Pipe Network
Authors: Ding Xiao, Yupeng Xiao, Hao Lin, Xiaoting Fu, Liutong Xu, Juan Yang
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

This paper studies the functional services of the 3D visualization of urban pipe network (UPN). In accordance with the characteristics of the UPN and its demands for 3D visualization. The division of the visualization services of the 3D visualization of UPN is researched, then a structure of services division named Service Stack is propose in this paper, which is applicable to the 3D visualization of UPN. The service stack provides a unified standard for the development of the 3D visualization of UPN, simplifies the process of the system development, and provides the system with good compatibility, scalability and reusability. Key technologies about the Service Stack are also discussed in this paper. Finally, based on the Service Stack, a prototype of Urban Pipe Network 3D visualization system is implemented.
On uniqueness of a general factorization of graph properties
Authors: Ewa Drgas-Burchardt
Venue: Journal of Graph Theory (2009)

A graph property is any class of simple graphs, which is closed under isomorphisms. Let H be a given graph on vertices v1, &hellip;, vn. For graph properties &Pscr;1, &hellip;, &Pscr;n, we denote by H[&Pscr;1, &hellip;, &Pscr;n] the class of those (&Pscr;1, &hellip;, &Pscr;n) -partitionable graphs G, with a corresponding vertex partition (V1, &hellip;, Vn), for which an edge &lcub;xi, xj&rcub; with xi&isin;Vi and xj&isin;Vj implies the existence of the edge &lcub;vi, vj&rcub; in the graph H. The problem of the unique description of a graph property &Pscr; in the form H[&Pscr;1, &hellip;, &Pscr;n] is investigated for &Pscr;, &Pscr;1, &hellip;, &Pscr;n being from the class La of all graph properties closed under taking disjoint unions and subgraphs. The unique factorization theorems obtained in the paper generalize known results of this type bringing together &compfn; -reducibility over La and &or; -reducibility in the lattice (La, &sube;). There is also offered a new insight into the modular decomposition tree for a graph. &copy; 2009 Wiley Periodicals, Inc. J Graph Theory 62: 48&ndash;64, 2009
An experimental study on the applicability of evolutionary algorithms to craniofacial superimposition in forensic identification
Authors: Oscar Ibáñez, Lucia Ballerini, Oscar Cordón, Sergio Damas, José Santamaría
Venue: Information Sciences: an International Journal (2009)

Photographic supra-projection is a forensic process that aims to identify a missing person from a photograph and a skull found. One of the crucial tasks throughout all this process is the craniofacial superimposition which tries to find a good fit between a 3D model of the skull and the 2D photo of the face. This photographic supra-projection stage is usually carried out manually by forensic anthropologists. It is thus very time consuming and presents several difficulties. In this paper, we aim to demonstrate that real-coded evolutionary algorithms are suitable approaches to tackle craniofacial superimposition. To do so, we first formulate this complex task in forensic identification as a numerical optimization problem. Then, we adapt three different evolutionary algorithms to solve it: two variants of a real-coded genetic algorithm and the state of the art evolution strategy CMA-ES. We also consider an existing binary-coded genetic algorithm as a baseline. Results on several superimposition problems of real-world identification cases solved by the Physical Anthropology lab at the University of Granada (Spain) are considered to test our proposals.
Word domain disambiguation via word sense disambiguation
Authors: Antonio Sanfilippo, Stephen Tratz, Michelle Gregory
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

Word subject domains have been widely used to improve the performance of word sense disambiguation algorithms. However, comparatively little effort has been devoted so far to the disambiguation of word subject domains. The few existing approaches have focused on the development of algorithms specific to word domain disambiguation. In this paper we explore an alternative approach where word domain disambiguation is achieved via word sense disambiguation. Our study shows that this approach yields very strong results, suggesting that word domain disambiguation can be addressed in terms of word sense disambiguation with no need for special purpose algorithms.
Is the Cross Section Profile Relevant for the Cut Out Risk of the Femur Neck Component in Implants Used for the Treatment of Proximal Femur Fractures? Experimental Examination and Clinical Results
Authors: Friedl W., Hilsenbeck Fl., Stürzenhofecker Ph.
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

Purpose: proximal femur fractures occur mainly in old and very old people with osteoporotic bone. The cut out of the femur neck and head component is therefore one of the major complications after osteosynthesis of these fractures. The Hypothesis of this study was that the cross section of the implant is relevant to minimise the cut out risk of the device.
Comfort Evaluation of T-shirt Type Underwear Made of Spun Silk Yarn
Authors: Masayoshi Kamijo, Tomohiro Uemae, Euichul Kwon, Yosuke Horiba, Hiroaki Yoshida, Yoshio Shimizu
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

The purpose of this study is to clarify the characteristics concerning comfortable clothes of T-shirts with the knitted fabric made of spun silk yarn, in order to develop a comfortable T-shirts made of spun silk yarn.The underwear is clothes that touch the skin directly. Therefore, stimulation according to physical characteristics of the underwear has a big physiological, psychological influence on human.Requirements of comfortable underwear are the following features.The touch sensation is to be soft. The clothing compression doesn't become tightening for the human body. The climate in clothes doesn't get stuffy easily.There is few research reports about evaluation of clothing comfort of silk fabric, though silk fabric is well-known as an excellent cloth that has material characteristics to fit human's health.We measured physical properties of three knitted fabric(spun silk yarn, raw silk(filament), cotton), tactile feeling, and physiological responses and investigated the evaluation of clothing comfort from their interrelation. Consequently, as for the shirt of the spun silk yarn, we demonstrated experimentally that it has excellent characteristics as the underwear from the viewpoint of the physiological and psychological clothing comfort. With experimental study of the autonomic nerve activity, we confirmed that the shirt of the spun silk yarn affordthe thermo physiological comfort feeling to human although there was a problem in the touch compared with the cotton shirt. We obtained the conclusion that the underwear of the spun silk yarn was the best for clothes at the summer time.
ODDboost: Incorporating Posterior Estimates into AdaBoost
Authors: Olga Barinova, Dmitry Vetrov
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

Boosting methods while being among the best classification methods developed so far, are known to degrade performance in case of noisy data and overlapping classes. In this paper we propose a new upper generalization bound for weighted averages of hypotheses, which uses posterior estimates for training objects and is based on reduction of binary classification problem with overlapping classes to a deterministic problem. If we are given accurate posterior estimates, proposed bound is lower than existing bound by Schapire et al [25]. We design an AdaBoost-like algorithm which optimizes proposed generalization bound and show that incorporated with good posterior estimates it performs better than the standard AdaBoost on real-world data sets.