ppxscal/embedding_network huggingface dataset:
Privacy FP-Tree
Authors: Sampson Pun, Ken Barker
Venue: Database Systems for Advanced Applications: DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, Brisbane, Australia, April 20 - 23, 2009 (2009)

Current technology has made the publication of people's private information a common occurrence. The implications for individual privacy and security are still largely poorly understood by the general public but the risks are undeniable as evidenced by the increasing number of identity theft cases being reported recently. Two new definitions of privacy have been developed recently to help understand the exposure and how to protect individuals from privacy violations, namely, anonymized privacy and personalized privacy. This paper develops a methodology to validate whether a privacy violation exists for a published dataset. Determining whether privacy violations exist is a non-trivial task. Multiple privacy definitions and large datasets make exhaustive searches ineffective and computationally costly. We develop a compact tree structure called the Privacy FP-Tree to reduce the costs. This data structure stores the information of the published dataset in a format that allows for simple, efficient traversal. The Privacy FP-Tree can effectively determine the anonymity level of the dataset as well as identify any personalized privacy violations. This algorithm is O (n log n) , which has acceptable characteristics for this application. Finally, experiments demonstrate the approach is scalable and practical.
Application Strategies of Multimedia for Heat Transfer Teaching
Authors: Qinghai Luo, Chunming Qi
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In this paper, the necessity of multimedia in modern Heat Transfer teaching was discussed. The objectives, characteristics and innovations of constructing multimedia source material database for Heat Transfer teaching were analyzed, and the technical means, the soft and hardware conditions were presented. The basic strategies of applying multimedia in Heat Transfer teaching was to well combine multimedia materials and teaching links including electronic teaching plan, teaching design, classroom explanation, problem discussion, practice and experiment teaching, etc., and to create teaching situations to improve teaching effect. Multimedia has been becoming one of the necessary means of modern Heat Transfer teaching and the software should be adapted to teaching requirements. The database, especially the developing materials, should be applied as self-study resource and platform after class, and then the educational function of Heat Transfer was extended.
Personalised Instruction E-Learning Model Based On Knowledge Domain
Authors: X. H. Tan, H. Luo, R. Tong, G. Chen, R. M. Shen
Venue: Journal of Integrated Design Process Science (2008)

The practice of E-learning in China has long suffered from its large scale students with different entry level and requirements without appropriate online instruction. Many Learning Content Manager Systems provide same learning content for different students. In this paper, we present a personalized E-learning instruction model based on knowledge domain. By applying data mining techniques on the analysis of e-learners' background, learning activities, this model on one side provides individualized learning path and resources to different students according to their levels and requirements. On the other side, the instructors can also adjust the teaching schedule and emphases according to the analytical results. As a result, the learners can not only get personalized learning contents but also individual instruction online. A Structured Knowledge Domain plays a key role in the model which is used to organize all the learning contents. The proposed model was implemented in a real large scale class of the Network College of Shanghai Jiao Tong University and was proved to be effective.
Impact of Global Warming on Altitude Effect in China in the Past Half Century
Authors: Lu Aigang, Wang Tianming, Kang Shichang, Pang Deqian
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

The data set of 160 National Meteorological Observatory stations with long-term monthly temperature data for China has been analyzed in this study to discover the altitudinal variation of temperature gradients in China in the past half century. By altitudinal analysis, it is found that, with the global warming in the past half-century, the latitudinal temperature gradient steepens, with a larger magnitude in summer than in winter. Possible mechanisms are discussed in the end.
Cross-lingual bootstrapping of semantic lexicons: the case of FrameNet
Authors: Sebastian Padó, Mirella Lapata
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

This paper considers the problem of unsupervised semantic lexicon acquisition. We introduce a fully automatic approach which exploits parallel corpora, relies on shallow text properties, and is relatively inexpensive. Given the English FrameNet lexicon, our method exploits word alignments to generate frame candidate lists for new languages, which are subsequently pruned automatically using a small set of linguistically motivated filters. Evaluation shows that our approach can produce high-precision multilingual FrameNet lexicons without recourse to bilingual dictionaries or deep syntactic and semantic analysis.
Foundation Silverlight 3 Animation, 1st edition
Authors: Jeff Paries
Venue:  (2009)

Silverlight is Microsoft's breakthrough technology for creating rich experiences on the web. This book illustrates the power of Silverlight as a graphics, animation, and game-creation tool. It teaches the fundamentals of computer animation, using trigonometry and vector movement before moving on to more advanced topics such as physics modeling and particle systems. With full code examples for all types of animation and interaction, this is an invaluable resource for both Silverlight beginners and more advanced users. Fully updated for Silverlight 3 See the power of Silverlight in action Learn the building blocks of animation in Silverlight 2 What you'll learn Learn how to create procedural (code-based) animation in Silverlight Utilize trigonometry and vectors to create motion Create animated text and image effects such as blurs and drop shadows Add physics effects, such as gravity Experiment with kinematics to create walk cycles Play with particle systems to create simple explosions Who is this book for? Anybody interested in Silverlight can pick up this book and be productive. Similarly, those with some web development experience looking to add Silverlight applications to their site can be productive. More advanced users can extract the concepts presented and apply them in their own applications as well.
Web Services Classification Based on Intelligent Clustering Techniques
Authors: Huiying Gao, Wolffried Stucky, Lei Liu
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

The better way for Web services discovery is to classify the Web services into different categories when they are published in a registry. The method of intelligent clustering based classification of the Web services is mainly studied. A hybrid solution is proposed for building and populating a taxonomy structure by combining human knowledge with the techniques of artificial intelligence. The Web service is converted into standard vector format through Web service description language (WSDL) document. The self-organizing neural network based learning algorithm and clustering algorithm are designed and implemented to classify the Web services automatically.
VersaPatch: A Low Cost 2.5D Capacitive Touch Sensor
Authors: Ray Bittner, Mike Sinclair
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

Capacitive input devices are becoming increasingly prevalent in consumer devices. This paper presents the hardware and algorithms for the low cost implementation of a capacitive 2.5D input device. The low cost and low power consumption of the device make it suitable for use in portable devices such as cellular phones. The electrical properties used are such that the pre-existing snap dome technologies in such devices can be used as capacitive sensing elements, further reducing the cost and size impact of the capacitive sensor.
Kernels for Periodic Time Series Arising in Astronomy
Authors: Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently such classification requires a large amount of domain expert time. We show that a combination of phase invariant similarity and explicit features extracted from the time series provide domain expert level classification. To facilitate this application, we investigate the cross-correlation as a general phase invariant similarity function for time series. We establish several theoretical properties of cross-correlation showing that it is intuitively appealing and algorithmically tractable, but not positive semidefinite, and therefore not generally applicable with kernel methods. As a solution we introduce a positive semidefinite similarity function with the same intuitive appeal as cross-correlation. An experimental evaluation in the astronomy domain as well as several other data sets demonstrates the performance of the kernel and related similarity functions.
Investigating Prior Experience and Product Learning through Novel Interface Interaction: A Pilot Study
Authors: Christopher Wilkinson, Patrick Langdon, P. John Clarkson
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

In keeping with the ethos of Inclusive Design, this paper outlines a pilot study investigating how individualsperceive, process and respond to stimuli during interaction with products, and aims to reveal what occurs during novel product interaction whereupon users may posses limited, or non-existent, internal representations. Other areas of interest included the generational effect and the effects of ageing, upon interaction. A novel product is presented to a small number of participants who are recorded interacting with it whilst providing concurrent protocol and information elicited regarding the development of internal representations. The expectation was that prior experience with similar products would affect users' ability to interact with the product, and that this might be age-related. Whilst this was confirmed to a limited extent in the pilot study, experimentation provided clear evidence of internalised concept development that would, in itself, validate full-scale examination.
Fast communication: Combining pores and ridges with minutiae for improved fingerprint verification
Authors: Mayank Vatsa, Richa Singh, Afzel Noore, Sanjay K. Singh
Venue: Signal Processing (2009)

This paper presents a fast fingerprint verification algorithm using level-2 minutiae and level-3 pore and ridge features. The proposed algorithm uses a two-stage process to register fingerprint images. In the first stage, Taylor series based image transformation is used to perform coarse registration, while in the second stage, thin plate spline transformation is used for fine registration. A fast feature extraction algorithm is proposed using the Mumford-Shah functional curve evolution to efficiently segment contours and extract the intricate level-3 pore and ridge features. Further, Delaunay triangulation based fusion algorithm is proposed to combine level-2 and level-3 information that provides structural stability and robustness to small changes caused due to extraneous noise or non-linear deformation during image capture. We define eight quantitative measures using level-2 and level-3 topological characteristics to form a feature supervector. A 2@n-support vector machine performs the final classification of genuine or impostor cases using the feature supervectors. Experimental results and statistical evaluation show that the feature supervector yields discriminatory information and higher accuracy compared to existing recognition and fusion algorithms.
Leveraging language into learning
Authors: Jacob Beal
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 4 (2005)

I hypothesize that learning a vocabulary to communicate between components of a system is equivalent to general learning. Moreover, I assert that some problems of general learning, such as eliminating bad hypotheses, deepening shallow representations, and generation of near-misses, will become simpler when refactored into communication learning problems.
A review of assistive technologies for people with Parkinson's disease
Authors: L. M. Cunningham, C. D. Nugent, D. D. Finlay, G. Moore, D. Craig
Venue: Technology and Health Care (2009)

The population is aging and with this, the incidence of age related diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD) are increasing. Assistive Technology (AT) is viewed as one of the possible solutions which can be used to meet the needs of persons suffering from PD. AT can enable a person to carry out a task which otherwise they would be unable to undertake independently. An AT can have many functions which range from helping people to use a computer, to monitoring someone's condition. Within this paper we attempt to categorise the different types of AT for persons with PD. Each of the technologies will be compared and contrasted and an overview of what is currently available presented. The paper concludes with some visionary comments on how the current levels of AT may change in the future.
The Research of OFDM Channel Estimation in Broadband Satellite Communication Systems
Authors: Hongxia Wang, Wei Pan, Chengsheng Pan
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The Channel estimation is one of the key technologies in OFDM receiving system. Which will directly affect the transmission quality of communication systems. This paper, based on the analysis of the characteristic of Ka-band satellite-ground link Channel, and comprehensive consideration of the impact offree space, attenuation , rainfall and so on, to the communication system, the Satellite-Ground link channel model of OFDM System is established, then a method of channel estimation based on the channel model is put forward. Simulation result shows that the method have lower complexity and higher performance.
Lisp: themes and history
Authors: Herbert Stoyan
Venue: Proceedings of the 2007 International Lisp Conference (2007)

This presentation will cover several themes connected with Lisp. There will be some part about history, some part about semantical equivalences of code pieces in Lisp, etc.
A Proposal of New Interface Based on Natural Phenomena and so on (1)
Authors: Toshiki Yamaoka, Ichiro Hirata, Akio Fujiwara, Sachie Yamamoto, Daijirou Yamaguchi, Mayuko Yoshida, Rie Tutui
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

This study aimed at creating new user-interfaces based on natural phenomena, objects, accustomed manners and so on. At first, literature and script survey was conducted to get framework of the study. Next, 33 places like famous garden, castle, temple and so on in Japan were surveyed to get clue of creating new user-interfaces. New user-interfaces were created based on a lot of collected data. The three selected user-interface design were visualized to evaluate from the viewpoint of usability and emotion and so on. These user-interfaces were evaluated highly.
Tractable reasoning in first-order knowledge bases with disjunctive information
Authors: Yongmei Liu, Hector J. Levesque
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

This work proposes a new methodology for establishing the tractability of a reasoning service that deals with expressive first-order knowledge bases. It consists of defining a logic that is weaker than classical logic and that has two properties: first, the entailment problem can be reduced to the model checking problem for a small number of characteristic models; and second, the model checking problem itself is tractable for formulas with a bounded number of variables. We show this methodology in action for the reasoning service previously proposed by Liu, Lakemeyer and Levesque for dealing with disjunctive information. They show that their reasoning is tractable in the propositional case and decidable in the first-order case. Here we apply the methodology and prove that the reasoning is also tractable in the first-order case if the knowledge base and the query both use a bounded number of variables.
AUG: a combined classification and clustering approach for web people disambiguation
Authors: Els Lefever, Véronique Hoste, Timur Fayruzov
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper presents a combined supervised and unsupervised approach for multi-document person name disambiguation. Based on feature vectors reflecting pairwise comparisons between web pages, a classification algorithm provides linking information about document pairs, which leads to initial clusters. In addition, two different clustering algorithms are fed with matrices of weighted keywords. In a final step the "seed" clusters are combined with the results of the clustering algorithms. Results on the validation data show that a combined classification and clustering approach doesn't always compare favorably to those obtained by the different algorithms separately.
Declarative interfaces for dynamic widgets communications
Authors: Cyril Concolato, Jean Le Feuvre, Jean-Claude Dufourd
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

Widgets are small and focused multimedia applications that can be found on desktop computers, mobile devices or even TV sets. Widgets rely on structured documents to describe their spatial, temporal and interactive behavior but also to communicate with remote data sources. However, these sources have to be known at authoring time and the communication process relies heavily on scripting. In this paper, we describe a mechanism enabling the communication between widgets and their dynamic environment (other widgets, remote data sources). The proposed declarative mechanism is compatible with existing Widgets technologies, usable with script-based widgets as well as with fully declarative widgets. A description of an implementation is also provided.
Inference rules and their application to recognizing textual entailment
Authors: Georgiana Dinu, Rui Wang
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

In this paper, we explore ways of improving an inference rule collection and its application to the task of recognizing textual entailment. For this purpose, we start with an automatically acquired collection and we propose methods to refine it and obtain more rules using a hand-crafted lexical resource. Following this, we derive a dependency-based structure representation from texts, which aims to provide a proper base for the inference rule application. The evaluation of our approach on the recognizing textual entailment data shows promising results on precision and the error analysis suggests possible improvements.
Transliteration as constrained optimization
Authors: Dan Goldwasser, Dan Roth
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

This paper introduces a new method for identifying named-entity (NE) transliterations in bilingual corpora. Recent works have shown the advantage of discriminative approaches to transliteration: given two strings (ws, wt) in the source and target language, a classifier is trained to determine if wt is the transliteration of ws. This paper shows that the transliteration problem can be formulated as a constrained optimization problem and thus take into account contextual dependencies and constraints among character bi-grams in the two strings. We further explore several methods for learning the objective function of the optimization problem and show the advantage of learning it discriminately. Our experiments show that the new framework results in over 50% improvement in translating English NEs to Hebrew.
A New Technique for Image Magnification
Authors: Carlo Arcelli, Maria Frucci, Gabriella Sanniti Baja
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

A discrete technique for image magnification is presented, which produces the resulting image in one scan of the input image and does not require any threshold. The technique allows the user to magnify an image with any integer zooming factor. The performance of the algorithm is evaluated by using the standard criterion based on the Peak Signal to Noise Ratio PSNR. The obtained results are visually good, since artifacts do not significantly affect the magnified images.
The Stixel World - A Compact Medium Level Representation of the 3D-World
Authors: Hernán Badino, Uwe Franke, David Pfeiffer
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

Ambitious driver assistance for complex urban scenarios demands a complete awareness of the situation, including all moving and stationary objects that limit the free space. Recent progress in real-time dense stereo vision provides precise depth information for nearly every pixel of an image. This rises new questions: How can one efficiently analyze half a million disparity values of next generation imagers? And how can one find all relevant obstacles in this huge amount of data in real-time? In this paper we build a medium-level representation named "stixel-world". It takes into account that the free space in front of vehicles is limited by objects with almost vertical surfaces. These surfaces are approximated by adjacent rectangular sticks of a certain width and height. The stixel-world turns out to be a compact but flexible representation of the three-dimensional traffic situation that can be used as the common basis for the scene understanding tasks of driver assistance and autonomous systems.
A Comparison of Iterative 2D-3D Pose Estimation Methods for Real-Time Applications
Authors: Daniel Grest, Thomas Petersen, Volker Krüger
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

This work compares iterative 2D-3D Pose Estimation methods for use in real-time applications. The compared methods are available for public as C++ code. One method is part of the openCV library, namely POSIT. Because POSIT is not applicable for planar 3D-point configurations, we include the planar POSIT version. The second method optimizes the pose parameters directly by solving a Non-linear Least Squares problem which minimizes the reprojection error. For reference the Direct Linear Transform (DLT) for estimation of the projection matrix is inlcuded as well.