ppxscal/embedding_network huggingface dataset:
Improving Documents Classification with Semantic Features
Authors: Bai Rujiang, Liao Junhua
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Successful text classification is highly dependent on the representations used. Currently, most approaches to text classification adopt the ‘bag-of-words’ document representation approach, where the frequency of occurrence of each word is considered as the most important feature, but this method ignores important semantic relationships between key terms. In this paper, we proposed a system that uses ontologies and Natural Language Processing techniques to index texts. Traditional BOW matrix is replaced by "Bag of Concepts" (BOC). For this purpose, we developed fully automated methods for mapping keywords to their corresponding ontology concepts. Support Vector Machine a successful machine learning technique is used for classification. Experimental results shows that our proposed method dose improve text classification performance significantly.
Simulation of two-dimensional supersonic flows on emulated-digital CNN-UM
Authors: Sándor Kocsárdi, Zoltán Nagy, Árpád Csík, Péter Szolgay
Venue: EURASIP Journal on Advances in Signal Processing (2009)

Computational fluid dynamics (CFD) is the scientific modeling of the temporal evolution of gas and fluid flows by exploiting the enormous processing power of computer technology. Simulation of fluid flow over complex-shaped objects currently requires several weeks of computing time on high-performance supercomputers. A CNN-UM-based solver of 2D inviscid, adiabatic, and compressible fluids will be presented. The governing partial differential equations (PDEs) are solved by using first-and second-order numerical methods. Unfortunately, the necessity of the coupled multilayered computational structure with nonlinear, space-variant templates does not make it possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution, emulated digital CNN-UM implemented on FPGA has been used. Properties of the implemented specialized architecture is examined in terms of area, speed, and accuracy.
Harmonic shells: a practical nonlinear sound model for near-rigid thin shells
Authors: Jeffrey N. Chadwick, Steven S. An, Doug L. James
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

We propose a procedural method for synthesizing realistic sounds due to nonlinear thin-shell vibrations. We use linear modal analysis to generate a small-deformation displacement basis, then couple the modes together using nonlinear thin-shell forces. To enable audio-rate time-stepping of mode amplitudes with mesh-independent cost, we propose a reduced-order dynamics model based on a thin-shell cubature scheme. Limitations such as mode locking and pitch glide are addressed. To support fast evaluation of mid-frequency mode-based sound radiation for detailed meshes, we propose far-field acoustic transfer maps (FFAT maps) which can be precomputed using state-of-the-art fast Helmholtz multipole methods. Familiar examples are presented including rumbling trash cans and plastic bottles, crashing cymbals, and noisy sheet metal objects, each with increased richness over linear modal sound models.
Face Detection Using GPU-Based Convolutional Neural Networks
Authors: Fabian Nasse, Christian Thurau, Gernot A. Fink
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

In this paper, we consider the problem of face detection under pose variations. Unlike other contributions, a focus of this work resides within efficient implementation utilizing the computational powers of modern graphics cards. The proposed system consists of a parallelized implementation of convolutional neural networks (CNNs) with a special emphasize on also parallelizing the detection process. Experimental validation in a smart conference room with 4 active ceiling-mounted cameras shows a dramatic speed-gain under real-life conditions. 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
Spearcon Performance and Preference for Auditory Menus on a Mobile Phone
Authors: Bruce N. Walker, Anya Kogan
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

This study investigates the use of spearcons as an auditory cue. It looks simultaneously at both performance and subjective preference of spearcons and text-to-speech (TTS). The study replicated on a mobile phone a previous PC-based study run by Palladino and Walker [1]. Performance results have been very similar to those found in the previous study, supporting the generalizability of spearcon performance from PCs to mobile phones. TTS and spearcons both provided comparable performance improvements, suggesting that spearcons do not negatively effect the design of visual and non-visual menus and may, within the right context, lead to enhanced designs. Participants gave positive performance scores to both TTS and spearcons when no visual cues were provided. Higher rankings were provided for all audio cues when Spearcons were included both in visual and non-visual conditions.
Computational linkuistics: word triggers across hyperlinks
Authors: Dragomir R. Radev, Hong Qi, Daniel Tam, Adam Winkel
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

It is known that context words tend to be self-triggers, that is, the probability of a content word to appear more than once in a document, given that it already appears once, is significantly higher than the probability of the first occurrence. We look at self-triggerability across hyperlinks on the Web. We show that the probability of a word wj to appear in a Web document di depends on the presence of wj in documents pointing to di. In Document Modeling, we will propose the use of a correction factor, R, which indicates how much more likely a word is to appear in a document given that another document containing the same word is linked to it.
The Research on Airport Ground Capacity Evaluation Based on 3-Dimensional Airport TWR Simulation System
Authors: Nan Li, Lin Wang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

This paper presented a 3-Dimensional Airport TWR (control tower) Simulation system on the ground capacity of the airport. It sets up an airport ground network module based on the airport ground operational. This paper evaluated the capacity by using an analytic algorithm of the array of taxi path to find aircraft’s taxi path and taking the practical flight schedule to get the taxiing time of every aircraft. Finally an example verified the feasibility and superiority of the system.
Towards B-Coloring of SOM
Authors: Haytham Elghazel, Khalid Benabdeslem
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

The Self-Organizing Map (SOM) is one of the most popular neural network methods. It is a powerful tool in visualization and analysis of high-dimensional data in various application domains such as Web analysis, information retrieval, and many other domains. The SOM maps the data on a low-dimensional grid which is generally followed by a clustering step of referent vectors (neurons or units). Different clustering approaches of SOM are considered in the literature. In particular, the use of hierarchical clustering and traditional k-means clustering are investigated. However, these approaches don't consider the topological organization provided by SOM. In this paper, we propose BcSOM, an extension of a recently proposed graph b-coloring clustering approach for clustering self organized map. It exhibits more important clustering features and enables to build a fine partition of referents by incorporating the neighborhood relations provided by SOM. The proposed approach is evaluated against benchmark data sets and its effectiveness is confirmed.
Visual data association for real-time video tracking using genetic and estimation of distribution algorithms
Authors: Miguel A. Patricio, Jesús García, Antonio Berlanga, José M. Molina
Venue: International Journal of Imaging Systems and Technology (2009)

In this article, an efficient and novel approach for video data association is developed. This new method is formulated as a search across the hypotheses space defined by the possible association among tracks and detections, carried out for each frame of a video sequence. The full data association problem in visual tracking is formulated as a combinatorial hypotheses search with a heuristic evaluation function taking into account structural and specific information such as distance, shape, color, etc. To guarantee real-time performance, a time limit is set for the search process explore alternative solutions. This time limit defines the upper bound of the number of evaluations depending on search algorithm efficiency. Estimation distribution algorithms are proposed as an efficient evolutionary computation technique to search in this hypothesis space. Finally, an exhaustive comparison of the performance of alternative algorithms is carried out considering complex representative situations in real video sets. &copy; 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 208&ndash;220, 2009
Research on the Algorithm for Computing Rendered Images of Fingerprint
Authors: Chen Qixiang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

By research on the Algorithm for Computing Rendered Images of Fingerprint, IFS model of image expression is set up, and the steps and the methods about the recognition of the characteristics of fingerprint image basing on encode of iterated function system are put forward as well. With the model and the computing similar parameter between source image and result image, the characteristics of fingerprint image can be quickly acquired. Thus, the recognition of fingerprint image can be realized. The result of the example indicates that the computing velocity of IFS model is 5~10 times quicker than the traditional image matrix digital image. Meanwhile, the ratio of its recognition reaches to 99.86 percent. IFS model produces a fairly good effect by application on the identity authentication at the entrance of a network user on the platform of information network under WEB.
LCC-TE: a hybrid approach to temporal relation identification in news text
Authors: Congmin Min, Munirathnam Srikanth, Abraham Fowler
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper explores a hybrid approach to temporal information extraction within the TimeML framework. Particularly, we focus on our initial efforts to apply machine learning techniques to identify temporal relations as defined in a constrained manner by the TempEval-2007 task. We explored several machine learning models and human rules to infer temporal relations based on the features available in TimeBank, as well as a number of other features extracted by our in-house tools. We participated in all three sub-tasks of the TempEval task in SemEval-2007 workshop and the evaluation shows that we achieved comparable results in Task A & B and competitive results in Task C.
Experiences Using Logic Programming in Bioinformatics
Authors: Chris Mungall
Venue: Proceedings of the 25th International Conference on Logic Programming (2009)

Reverse engineering complex biological systems requires the integration of multiple different databases using detailed background knowledge. Logic programming can provide a means of both performing integrative queries and rule-based inference to account for implicit knowledge.The Biological Logic Programming toolkit (Blipkit) was developed as a means of doing this kind of data integration. Implemented in SWI-Prolog, Blipkit has models of different aspects of life sciences data, including genes and gene sequences, RNA structures, evolutionary relationships, phenotypes and biological interactions. These can be combined to answer complex questions spanning multiple datasources. Blipkit also has means of integrating with and combining life sciences databases and ontologies. 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
Planning for Interactions among Autonomous Agents
Authors: Tsz-Chiu Au, Ugur Kuter, Dana Nau
Venue: Programming Multi-Agent Systems: 6th International Workshop, ProMAS 2008, Estoril, Portugal, May 13, 2008. Revised Invited and Selected Papers (2009)

AI planning research has traditionally focused on offline pl- anning for static single-agent environments. In environments where an agent needs to plan its interactions with other autonomous agents, planning is much more complicated, because the actions of the other agents can induce a combinatorial explosion in the number of contingencies that the planner will need to consider. This paper discusses several ways to alleviate the combinatorial explosion, and illustrates their use in several different kinds of multi-agent planning domains.
Optimal Design for the Supporting Structure of the Deformable Mirror
Authors: Fu Zhao, Yanjue Gong, Li Zhang, Huiyu Xiang, Ping Wang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

This paper describes the optimization solution to improve the dynamic stiffness of the deformable mirror supporting structure. With the methods of Finite element analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the structure parameters of the deformable mirror supporting structure and its resonate frequency is built. With this relationship and Genetic Algorithm(GA) optimal design, a group of reasonable structure parameters are found that can improve the dynamic stiffness of the deformable mirror supporting structure.
The CARTOON project: towards integration of multimodal and linguistic analysis for cartographic applications
Authors: J. C. Martin, X. Briffault, M. R. Gonçalves, J. Vapillon
Venue: Referring Phenomena in a Multimedia Context and their Computational Treatment (1997)

Reference in multimodal input Human-Computer Interaction has already been studied in several experiments involving either simulated or implemented systems (Mignot and Carbonell 96, Huls and Bos 95) including cartographic application (Siroux et al. 95, Cheyer and Julia 95, Oviatt 96). In this paper, we present our project named CARTOON (CARTography and cOOperatioN between modalities): we describe the current prototype but also how we plan to integrate tools providing linguistic analysis.
A Smoothing Quadratically Convergent Algorithm for the Generalized Complementarity Problem over a Polyhedral Cone
Authors: Kaixun Chen
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In this paper, we establish a global absolute error bound for the generalized complementarity problem over a Polyhedral Cone (GCP) with the underlying mapping being r –strongly monotone and Holder-continuous, based on which the famous Levenberg-Marquardt (L-M) algorithm is employed for obtaining its solution, and we show that L-M algorithm is quadratically convergent without nondegenerate solution.
Embedded Software Development with C, 1st edition
Authors: Kai Qian, David Haring, Li Cao
Venue:  (2009)

Embedded Software Development With C Kai Qian About this textbook: Intelligible presentation of the fundamentals of embedded systems design and development using the C programming language and the 8051 microcontroller. Examines the longevity and relevancy of the 8051 microcontroller for designing embedded systems in present applications. Includes extensive appendices for reference work. Encourages a hands-on, incremental learning approach with comprehensive tutorial materials provided both in textbook and online. Embedded Software Development With C offers both an effectual reference for professionals and researchers, and a valuable learning tool for students by laying the groundwork for a solid foundation in the hardware and software aspects of embedded systems development. Key features include a resource for the fundamentals of embedded systems design and development with an emphasis on software, an exploration of the 8051 microcontroller as it pertains to embedded systems, comprehensive tutorial materials for instructors to provide students with labs of varying lengths and levels of difficulty, and supporting website including all sample codes, software tools and links to additional online references.
Dependent Types at Work
Authors: Ana Bove, Peter Dybjer
Venue: Language Engineering and Rigorous Software Development: International LerNet ALFA Summer School 2008, Piriapolis, Uruguay, February 24 - March 1, 2008, Revised Tutorial Lectures (2009)

In these lecture notes we give an introduction to functional programming with dependent types. We use the dependently typed programming language Agda which is an extension of Martin-Löf type theory. First we show how to do simply typed functional programming in the style of Haskell and ML. Some differences between Agda's type system and the Hindley-Milner type system of Haskell and ML are also discussed. Then we show how to use dependent types for programming and we explain the basic ideas behind type-checking dependent types. We go on to explain the Curry-Howard identification of propositions and types. This is what makes Agda a programming logic and not only a programming language. According to Curry-Howard, we identify programs and proofs, something which is possible only by requiring that all program terminate. However, at the end of these notes we present a method for encoding partial and general recursive functions as total functions using dependent types.
Context-aware communication support system with pictographic cards
Authors: Gunhee Kim, Jukyung Park, Manchul Han, Sehyung Park, Sungdo Ha
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

We present a context-aware pictographic display system that facilitates the search for communication cards that bear some relation to the location and goal of the user. The system consists of a server and a mobile device: the server searches for relevant cards on the basis of the context, and then prioritizes them in terms of their relatedness; the mobile device displays pictographic cards according to the priority. This system can help people who have speech-language difficulties by reducing the searching time and difficulties, when the user wants to find the pictographic cards.
Three Proposition Semantics for Motivation Operator of Agent
Authors: Yanbin Peng, Zhijun Zheng, Jian Xiang, Ji Gao, Jieqing Ai, Zhenyu Lu, Xueqin Jiang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Motivation is an indispensable element in reasoning rational behavior of intelligent agent. Recent study on the semantics explanation of motivation operator has its shortcomings such as the impossibility to solve logic omniscience problem. This shortcoming fundamentally restrict agent from applying to real application domain. This paper proposes three proposition semantics to describe motivation operator and proves that the novel motivation operator can avoid logic omniscience problem and related problems.
The Northwest Distributed Computer Science Department
Authors: Scott A. Wallace, Robert Bryant, Genevieve Orr
Venue: Journal of Computing Sciences in Colleges (2009)

In this paper, we describe the Northwest Distributed Computer Science Department, a project intended to bring together faculty from across the region to share resources and skills and thereby improve computing education. This position paper presents the motivation, goals, and current direction of the project.
NUS-PT: exploiting parallel texts for word sense disambiguation in the English all-words tasks
Authors: Yee Seng Chan, Hwee Tou Ng, Zhi Zhong
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

We participated in the SemEval-2007 coarse-grained English all-words task and fine-grained English all-words task. We used a supervised learning approach with SVM as the learning algorithm. The knowledge sources used include local collocations, parts-of-speech, and surrounding words. We gathered training examples from English-Chinese parallel corpora, SemCor, and DSO corpus. While the fine-grained sense inventory of WordNet was used to train our system employed for the fine-grained English all-words task, our system employed for the coarse-grained English all-words task was trained with the coarse-grained sense inventory released by the task organizers. Our scores (for both recall and precision) are 0.825 and 0.587 for the coarse-grained English all-words task and fine-grained English all-words task respectively. These scores put our systems in the first place for the coarse-grained English all-words task and the second place for the fine-grained English all-words task.
SemEval'07 task 19: frame semantic structure extraction
Authors: Collin Baker, Michael Ellsworth, Katrin Erk
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This task consists of recognizing words and phrases that evoke semantic frames as defined in the FrameNet project (http://framenet.icsi.berkeley.edu), and their semantic dependents, which are usually, but not always, their syntactic dependents (including subjects). The training data was FN annotated sentences. In testing, participants automatically annotated three previously unseen texts to match gold standard (human) annotation, including predicting previously unseen frames and roles. Precision and recall were measured both for matching of labels of frames and FEs and for matching of semantic dependency trees based on the annotation.
A Fuzzy-Q Method to Improve the Adaptability of AUV in Variable Ocean Current Environment
Authors: Ge Yang, Rubo Zhang, Dong Xu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

It is very difficult to keep AUV following the planned routes during the AUV’s navigation under the strong ocean current. This article integrated Q-learning with fuzzy logic, which makes AUV can resist the influence of ocean current. A fuzzy behavior is defined to resist the ocean current by giving a extra angle towards its direction. And Q-learning is used to adjust the central point of fuzzy membership function of the resisting ocean current behavior. This behavior is complemented by two other behaviors, the moving-to-goal behavior and collision avoiding behavior. The recommendations of these three behaviors are integrated through adjustable weighting factors to generate the final motion command for the AUV. Simulation shows it improve the adaptability of AUV under different ocean current greatly.