ppxscal/embedding_network huggingface dataset:
Reworking Bridging for Use within the Image Domain
Authors: Henry Petersen, Josiah Poon
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

The task of automated classification is a highly active research field with great practical benefit over a number of problem domains. However, due to the factors such as lack of available training examples, large degrees of imbalance in the training set, or overlapping classes, the task of automated classification is rarely straightforward in practice. Methods that adequately compensate for such difficulties are required. The recently developed bridging algorithm does just this for problems in the field of short string text classification. The algorithm integrates a collection of background knowledge into the classification process. In this paper, we have shown how the bridging algorithm was redesigned so it can be applied to image data. We also demonstrated it is effective to overcome a range of difficulties in the classification process. 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
Kindergartners' Color Preference and Temperament in Embodied Interactive Video Game
Authors: Jyh-Tsorng Jong, Yin-Wen Lee, Jon-Chao Hong, Ming-Yueh Hwang, Yung-Wei Hao
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

The purposes of this study were to explore what's kind of the color kindergartners chose in embodied interactive video game and what's the relation between kindergartners' color preference and their characteristic of temperament in embodied interactive video game. The 230 kindergartners, 4 to 5-years-old, participated in the game play, "Matching the shapes,$\bigcirc$, , and Δ" at school. Each child's father or mother completed the Revised Behavioral Style Questionnaire. By using SPSS17.0, the results showed that the color preferences of kindergartners were yellow, red, purple, blue, and green in order. Sex difference was found in color preference. Kindergartners who liked red or purple colors represented higher distractibility than those liked yellow. Kindergartners who preferred the purple color would be more sensitive than others who liked red, yellow, green, or blue respectively.
RETALIATE: learning winning policies in first-person shooter games
Authors: Megan Smith, Stephen Lee-Urban, Héctor Muñoz-Avila
Venue: Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2 (2007)

In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team first-person shooter games. RETALIATE has three crucial characteristics: (1) individual BOT behavior is fixed although not known in advance, therefore individual BOTS work as "plugins", (2) RETALIATE models the problem of learning team tactics through a simple state formulation, (3) discount rates commonly used in Q-Iearning are not used. As a result of these characteristics, the application of the Q-learning algorithm results in the rapid exploration towards a winning policy against an opponent team. In our empirical evaluation we demonstrate that RETALIATE adapts well when the environment changes.
Thermoelectric generator design based on power from body heat for biomedical autonomous devices
Authors: Aime Lay-Ekuakille, Giuseppe Vendramin, Amerigo Trotta, Gabriella Mazzotta
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

Energy harvesting from human body has been undergoing an interesting and quick development thanks to the technological availability of new electronic components and the growing of different applications, in particular, for biomedical and social impacts on human beings' daily life. The main scope of this paper is to modeling and to design a thermoelectric generator that extracts energy from human tissue warmth in order to supply a biomedical hearing prosthesis for death persons. An array of sensors based on thermocouple effect has been used. A conditioning and accumulator circuitry has been designed and tested
On the Amortized Complexity of Zero-Knowledge Protocols
Authors: Ronald Cramer, Ivan Damgård
Venue: Proceedings of the 29th Annual International Cryptology Conference on Advances in Cryptology (2009)

We propose a general technique that allows improving the complexity of zero-knowledge protocols for a large class of problems where previously the best known solution was a simple cut-and-choose style protocol, i.e., where the size of a proof for problem instance x and error probability 2¿ n was O(|x| n) bits. By using our technique to prove n instances simultaneously, we can bring down the proof size per instance to O(|x| + n) bits for the same error probability while using no computational assumptions. Examples where our technique applies include proofs for quadratic residuosity, proofs of subgroup membership and knowledge of discrete logarithms in groups of unknown order, and proofs of plaintext knowledge for various types of homomorphic encryptions schemes. The generality of our method stems from a somewhat surprising application of black-box secret sharing schemes.
A Simple Method for Filtering Image Spam
Authors: Peizhou He, Xiangming Wen, Wei Zheng
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Image spam can easily circumvent widely text spam filters. It is a new trend of spam, and poses a great threat to email communications. In this paper, we give the definition of image spam firstly. Then we propose a simple method for filtering image spam, which utilizes file properties and histogram (gray histogram or color histogram). Finally, a preliminary experimental evaluation of our approach is reported on a personal dataset and Princeton benchmark dataset of spam images publicly available.
A GIS-Based SW Prototype for Emergency Preparedness Management Applied to a Real Case Study
Authors: Marco Scaioni, Mario Alba, Renato Rota, Simona Caragliano
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

In the paper the development of a GIS-based software tool (EPM) supporting local civil protection authorities in Emergency Preparedness and Management is presented. Technological accidents and natural hazards may generate heavy damages for the context where they happen, especially when they are localized in urban areas. The software is developed by considering the need of collecting the appropriate available information sprawled within different geo-databases in hand of several entities when an emergency occurs. This information may support civil protection activities during the emergency to maintain and improve the level of safety and protection of people working within and living around the industry involved in the accident. The use of EPM has been tested on two case studies located in the same area in Lecco town, Italy.
Public-Key Cryptosystems Resilient to Key Leakage
Authors: Moni Naor, Gil Segev
Venue: Proceedings of the 29th Annual International Cryptology Conference on Advances in Cryptology (2009)

Most of the work in the analysis of cryptographic schemes is concentrated in abstract adversarial models that do not capture side-channel attacks. Such attacks exploit various forms of unintended information leakage, which is inherent to almost all physical implementations. Inspired by recent side-channel attacks, especially the "cold boot attacks", Akavia, Goldwasser and Vaikuntanathan (TCC '09) formalized a realistic framework for modeling the security of encryption schemes against a wide class of side-channel attacks in which adversarially chosen functions of the secret key are leaked. In the setting of public-key encryption, Akavia et al. showed that Regev's lattice-based scheme (STOC '05) is resilient to any leakage of L / polylog(L) bits, where L is the length of the secret key.In this paper we revisit the above-mentioned framework and our main results are as follows: We present a generic construction of a public-key encryption scheme that is resilient to key leakage from any universal hash proof system. The construction does not rely on additional computational assumptions, and the resulting scheme is as efficient as the underlying proof system. Existing constructions of such proof systems imply that our construction can be based on a variety of number-theoretic assumptions, including the decisional Diffie-Hellman assumption (and its progressively weaker d-Linear variants), the quadratic residuosity assumption, and Paillier's composite residuosity assumption. We construct a new hash proof system based on the decisional Diffie-Hellman assumption (and its d-Linear variants), and show that the resulting scheme is resilient to any leakage of L(1 ¿ o(1)) bits. In addition, we prove that the recent scheme of Boneh et al. (CRYPTO '08), constructed to be a "circular-secure" encryption scheme, is resilient to any leakage of L(1 ¿ o(1)) bits. These two proposed schemes complement each other in terms of efficiency. We extend the framework of key leakage to the setting of chosen-ciphertext attacks. On the theoretical side, we prove that the Naor-Yung paradigm is applicable in this setting as well, and obtain as a corollary encryption schemes that are CCA2-secure with any leakage of L(1 ¿ o(1)) bits. On the practical side, we prove that variants of the Cramer-Shoup cryptosystem (along the lines of our generic construction) are CCA1-secure with any leakage of L/4 bits, and CCA2-secure with any leakage of L/6 bits.
The 3D Moore-Rayleigh Test for the Quantitative Groupwise Comparison of MR Brain Images
Authors: Alize E. Scheenstra, Michael Muskulus, Marius Staring, Arn M. Maagdenberg, Sjoerd Verduyn Lunel, J. Hans Reiber, Louise Weerd, Jouke Dijkstra
Venue: Proceedings of the 21st International Conference on Information Processing in Medical Imaging (2009)

Non-rigid registration of MR images to a common reference image results in deformation fields, from which anatomical differences can be statistically assessed, within and between populations. Without further assumptions, nonparametric tests are required and currently the analysis of deformation fields is performed by permutation tests. For deformation fields, often the vector magnitude is chosen as test statistic, resulting in a loss of information. In this paper, we consider the three dimensional Moore-Rayleigh test as an alternative for permutation tests. This nonparametric test offers two novel features: first, it incorporates both the directions and magnitude of the deformation vectors. Second, as its distribution function is available in closed form, this test statistic can be used in a clinical setting. Using synthetic data that represents variations as commonly encountered in clinical data, we show that the Moore-Rayleigh test outperforms the classical permutation test.
Entertainment Game to Support Interaction between Teachers and Students
Authors: Marcos Alexandre Silva, Junia Coutinho Anacleto
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

A narrative game is described here which main goal is to support childrens´ free expression and socialization considering their cultural background. This game can be used at school, in which students can develop a story together under the teacher's supervision. The idea is to support teachers to create characters and scenarios according to the students´ cultural context, expressed in their common sense knowledge, and consequently enabling them to get engaged on developing the story collaboratively. Also, teacher has the common sense's support to conduct the story according to the facts are being narrated, to stimuli the students' communion. This cultural sensitive RPG-like environment intends to promote a closer contact between teacher and students and among students giving them a more contextualized computer tool to be stimulated to freely express their thoughts, desires and to support them to cooperative work with teachers what is desirable for their intellectual and cognitive development.
Interactive and Lightweight Mechanisms to Coordinate Interpersonal Privacy in Mediated Communication
Authors: Natalia Romero, Laurens Boer, Panos Markopoulos
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

In this paper we describe three mechanisms that enable people to coordinate their interaction needs with others in their social network. The proposed designs are based on the Privacy Grounding Model [4] that argues the need for lightweight and interactive coordination mechanisms to support the dynamic and dialectic nature of interpersonal privacy coordination.
Study on Treating Desulfurization Gypsum by Sulfate-Reducing Bacteria
Authors: Yi Zhao, Cheng Chen, Yinghui Han
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

A new method of converting the main component desulfurization gypsum (CaSO4) using the sulfate-reducing bacteria (SRB) is proposed in this paper in the view of Chinese current condition. The metabolism way and function of some microbes in desulfurization are introduced in detail. By way of Chemical Analysis, the existing forms of sulfur and calcium in product were determined. By means of test of orthogonal experimental design and searching test, the key influence factors of treating desulfurization gypsum using SRB were investigated. Through analysis and discussion the experimental results, the optimum technological condition was searched out. Meanwhile it has carried on prospecting for future development and some problems meriting our attention.
Don't change a thing: how adopting a service provider attitude can boost your career
Authors: Michael DiBernardo
Venue: Crossroads (2009)

As a student of computer science, there's a significant chance you will end up working in software development after graduation. Despite whether your career path takes you into industry or academia, you're likely to have some kind of interaction with software development companies or organizations, if only in trying to get the most out of a project or collaboration.
ClusTR: Exploring Multivariate Cluster Correlations and Topic Trends
Authors: Luigi Caro, Alejandro Jaimes
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

We present a demonstration of ClusTR, a highly interactive system for exploring relationships between different clusterings of a dataset and for viewing the evolution in time of topics (e.g., tags associated with objects in the dataset) within and across such clusters. In particular, ClusTR allows exploration of generic multi-dimensional, text labeled and time sensitive data.
H∞ filtering of networked discrete-time systems with random packet losses
Authors: Wen-An Zhang, Li Yu, Hongbo Song
Venue: Information Sciences: an International Journal (2009)

This paper studies the H"~ filtering problem for networked discrete-time systems with random packet losses. The general multiple-input-multiple-output (MIMO) filtering system is considered. The multiple measurements are transmitted to the remote filter via distinct communication channels, and each measurement loss process is described by a two-state Markov chain. Both the mode-independent and the mode-dependent filters are considered, and the resulting filtering error system is modelled as a discrete-time Markovian system with multiple modes. A necessary and sufficient condition is derived for the filtering error system to be mean-square exponentially stable and achieve a prescribed H"~ noise attenuation performance. The obtained condition implicitly establishes a relation between the packet loss probability and two parameters, namely, the exponential decay rate of the filtering error system and the H"~ noise attenuation level. A convex optimization problem is formulated to design the desired filters with minimized H"~ noise attenuation level bound. Finally, an illustrative example is given to show the effectiveness of the proposed results.
Surface Matching Method for the Armed Inspection Robots
Authors: Yuqing Chen, Ying Hu, Zi Ma
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

This paper presents an efficient method for rigid registration of 3-D point sets, which intends to match the feature points inspected by armed inspection robots with the points on designed CAD surface. The alignment error is defined as the least square problem, and the sphere radius of the inspection probe is considered. In this framework, the matching problem is converted into acquiring six Euler variables problem by solving nonlinear equations. Thus a matrix transformation of parameter separation is presented to get the approximate resolution. The validity and effectivness is tested via real surface matching experiment.
The Design and Implementing of University Personnel Dossier Management System Based on Web Services
Authors: Erxiang Chen
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

The technology of web services is introduced.Then, in the paper, we advance the design and realizationof university personnel dossier management system basedon web services, and implement the system underwindows .NET framework. The system has theadvantages of security, maintains and extensiveness.
A New Algorithm Based on Negative Selection and Idiotypic Networks for Generating Parsimonious Detector Sets for Industrial Fault Detection Applications
Authors: Eduard Plett, Sanjoy Das
Venue: Proceedings of the 8th International Conference on Artificial Immune Systems (2009)

Artificial Immune System (AIS) algorithms have been used for well over a decade to detect anomalies in computer security and data collection applications. They have also been used for real-time industrial fault detection applications, where they typically outperform traditional limit-checking algorithms in terms of anomaly detection ability. However, large computing overhead and large memory requirements make traditional AIS algorithms unsuitable for many applications. In this paper we propose a new AIS algorithm called Parsimonious Detector Set Algorithm which promises to greatly limit the effect of both constraints and make AIS algorithms suitable for a wider range of applications.
Why Are People's Decisions Sometimes Worse with Computer Support?
Authors: Eugenio Alberdi, Lorenzo Strigini, Andrey A. Povyakalo, Peter Ayton
Venue: Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security (2009)

In many applications of computerised decision support, a recognised source of undesired outcomes is operators' apparent over-reliance on automation. For instance, an operator may fail to react to a potentially dangerous situation because a computer fails to generate an alarm. However, the very use of terms like "over-reliance" betrays possible misunderstandings of these phenomena and their causes, which may lead to ineffective corrective action (e.g. training or procedures that do not counteract all the causes of the apparently "over-reliant" behaviour). We review relevant literature in the area of "automation bias" and describe the diverse mechanisms that may be involved in human errors when using computer support. We discuss these mechanisms, with reference to errors of omission when using "alerting systems", with the help of examples of novel counterintuitive findings we obtained from a case study in a health care application, as well as other examples from the literature.
Performance Prediction for Unsupervised Video Indexing
Authors: Ralph Ewerth, Bernd Freisleben
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Recently, performance prediction has been successfully applied in the field of information retrieval for content analysis and retrieval tasks. This paper discusses how performance prediction can be realized for unsupervised learning approaches in the context of video content analysis and indexing. Performance prediction helps in identifying the number of detection errors and can thus support post-processing. This is demonstrated for the example of temporal video segmentation by presenting an approach for automatically predicting the precision and recall of a video cut detection result. It is shown for the unsupervised cut detection approach that the related clustering validity measure is highly correlated with the precision of a detection result. Three regression methods are investigated to exploit the observed correlation. Experimental results demonstrate the feasibility of the proposed performance prediction approach.
Human Niche Models and Their Application in Internal Migration in China
Authors: Shi Honghua, Zheng Wei, Gao Meng
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

In this paper, the niche of human being is constructed. From the view of population ecology, human ecological momentum and population migration model is setup. The case study of internal migration in China indicates that the niche fitness and migrant proportion is higher relative. In the northwest of China, the niche fitness is very low, thus the migrant proportion is also small. However, the only one exception among them, the Xinjiang Province has a little higher niche fitness and migrant proportion for its plentiful land resource. The relative high of niche-fitness in the coastal provinces in China indicates that there is a good carrying capacity status of population in there.
The Scattering Study of Rough Surface by Ray Tracing Technique
Authors: Xiaoyang Wen, Chao Wang, Hong Zhang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

The model of soil surface scattering is implemented in the paper. The ray tracing (RT) model is introduced to solve the soil scattering problem. The soil surface is characterized by the rms of its height distribution relating to wavelength and by the space correlation length of an extracted profile from this surface. The RT result is compared with Kirchhoff approximation (KA) result, and the result matches well.
Research on Logistics Industry Cluster Synergy Model Based on Decision-making Game Theory
Authors: Shouping Gui, Liang Chen, Weiwen Xiong
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Recent economic and international threats to logistics industries have encouraged companies to increase their performance in all ways possible. Many look to deal quickly with disturbances, exchange information promptly. So Logistics industry clusters have been great development, Synergies between the clusters become more and more important. This paper analyzes the logistics industry cluster synergies and its efforts on economy in regional from the perspective of game theory, builds models for quantitative determination of horizontal and vertical coordination synergies, then find that no matter horizontal or vertical coordination synergies, the total of economic benefits increase in the system of logistics industry clusters. At last, analyze reasons for the increasing benefits.