ppxscal/embedding_network huggingface dataset:
Multi-view face recognition based on tensor subspace analysis and view manifold modeling
Authors: Xinbo Gao, Chunna Tian
Venue: Neurocomputing (2009)

This paper aims to address the face recognition problem with a wide variety of views. We proposed a tensor subspace analysis and view manifold modeling based multi-view face recognition algorithm by improving the TensorFace based one. Tensor subspace analysis is applied to separate the identity and view information of multi-view face images. To model the nonlinearity in view subspace, a novel view manifold is introduced to TensorFace. Thus, a uniform multi-view face model is achieved to deal with the linearity in identity subspace as well as the nonlinearity in view subspace. Meanwhile, a parameter estimation algorithm is developed to solve the view and identity factors automatically. The new face model yields improved facial recognition rates against the traditional TensorFace based method.
A compact architecture for dialogue management based on scripts and meta-outputs
Authors: Manny Rayner, Beth Ann Hockey, Frankie James
Venue: Proceedings of the ANLP-NAACL 2000 Workshop on Conversational Systems (2000)

We describe an architecture for spoken dialogue interfaces to semi-autonomous systems that transforms speech signals through successive representations of linguistic, dialogue, and domain knowledge. Each step produces an output, and a meta-output describing the transformation, with an executable program in a simple scripting language as the final result. The output/meta-output distinction permits perspicuous treatment of diverse tasks such as resolving pronouns, correcting user misconceptions, and optimizing scripts.
Robust neural network control system design for linear ultrasonic motor
Authors: Chih-Min Lin, Chin-Hsu Leng, Chun-Fei Hsu, Chiu-Hsiung Chen
Venue: Neural Computing and Applications (2009)

Linear ultrasonic motor (LUSM) has much merit, such as high precision, fast control dynamics and large driving force, etc.; however, the dynamic characteristic of LUSM is nonlinear and the precise dynamic model of LUSM is difficult to obtain. To tackle this problem, this study presents a robust neural network control (RNNC) system for LUSM to track a reference trajectory with L 2 robust tracking performance. The developed RNNC system is composed of a neural network controller and a robust controller. The neural network controller is the principal controller used to mimic an ideal controller and the robust controller is adopted to achieve L 2 robust tracking performance. The developed RNNC system is then applied to control an LUSM. Experimental results show that the developed RNNC system can achieve favorable tracking performance with unknown of LUSM model.
A New Method to Combine Heterogeneous Data Sources for Candidate Gene Prioritization
Authors: Yongjin Li, Jagdish C. Patra, Jiabao Sun
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

How to effectively integrate heterogeneous data sources is becoming extremely challenging, because many useful but noisy data sources are available for the problem at hand.In this paper, for disease gene prioritization problem, we investigated multiple kernels learning (MKL) and N dimensional order statistics (NDOS) method, but found that neither could effectively extract useful information from noisy data. Especially, in MKL algorithm, ineffective data source may be given more weight,which downgrades the effectiveness of the combined kernel. We proposed an improved procedure based on NDOS. We first use cross validation to evaluate each individual data source, and only effective data sources are used in the prioritizations of candidate genes.
Mobile implementation of a web 3D carousel with touch input
Authors: Christoffer Björkskog, Giulio Jacucci, Bruno Lorentin, Luciano Gamberini
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

Mobile devices such as the iPhone provide state of the art interaction capabilities also for web browser applications. Our mobile development is targeted to a Energy Awareness application that provides playful access to detailed and realtime information on energy consumption of appliances of a household. Using the available Safari Browser that adopts W3C web standards we demonstrate the implementation of a 3D carousel giving access to cards on a web page where each card gives access to information on one appliance. The carousel can be browsed using the multitouch capability of the iPhone. We describe the programming approach and discuss the lesson learned in developing the touch interaction with the carousel.
Persistent information state in a data-centric architecture
Authors: Sebastian Varges, Giuseppe Riccardi, Silvia Quarteroni
Venue: Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue (2008)

We present the ADAMACH data centric dialog system, that allows to perform on- and off-line mining of dialog context, speech recognition results and other system-generated representations, both within and across dialogs. The architecture implements a "fat pipeline" for speech and language processing. We detail how the approach integrates domain knowledge and evolving empirical data, based on a user study in the University Helpdesk domain.
An E-negotiation Model Based on Multi-agent and Ontology
Authors: Pu Qiu Mei, Zhang Hong, Cao Yong Cun, Pan Xiu Qin
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

In the E-commerce environments, multi-agent system is often used in automated negotiation. But when agents communicate they do not necessarily use the same vocabulary or ontology. If they want to interact successfully they must find correspondences between the terms used in their Ontology. It is obvious that negotiating agent architectures have not been addressed sufficiently. Towards this end, this paper present a novel agent construction model that enables agents communicate in the semantic web. Semantic web use Ontology to describe the negotiation protocol, which will enable agent gain the necessary knowledge of the protocol from the market. We demonstrate how the model allows us to accomplish these negotiation architectures.
The Approximation to the Random Fields Indexed by a Non-homogeneous Tree
Authors: Jin Shao-hua, Jiang Hui-hui, Sun Shu-guang, Wan Yan-ping
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

The strong deviation theorem is one of the central questions for studying in the international Probability theory . This paper brings in relative entropy ratio of sample as a measure of deviation between arbitrary random field and Markov random fields of order two on a non-homogeneous tree, and gives a strong deviation theorem on arbitrary probability measure of (Ω,F) by constructing a martingale and using Doob’smartingale convergence theorem.
Generating safe template languages
Authors: Florian Heidenreich, Jendrik Johannes, Mirko Seifert, Christian Wende, Marcel Böhme
Venue: Proceedings of the eighth international conference on Generative programming and component engineering (2009)

Template languages are widely used within generative programming, because they provide intuitive means to generate software artefacts expressed in a specific object language. However, most template languages perform template instantiation on the level of string literals, which allows neither syntax checks nor semantics analysis. To make sure that generated artefacts always conform to the object language, we propose to perform static analysis at template design time. In addition, the increasing popularity of domainspecific languages (DSLs) demands an approach that allows to reuse both the concepts of template languages and the corresponding tools. In this paper we address the issues mentioned above by presenting how existing languages can be automatically extended with generic template concepts (e.g., placeholders, loops, conditions) to obtain safe template languages. These languages provide means for syntax checking and static semantic analysis w.r.t. the object language at template design time. We discuss the prerequisites for this extension, analyse the types of correctness properties that can be assured at template design time, and exemplify the key benefits of this approach on a textual DSL and Java.
Problem and Strategy: Overfitting in Recurrent Cycles of Internal Symmetry Networks by Back Propagation
Authors: Guanzhong Li
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

Overfitting is an important topic in Neural Network. Internal Symmetry Networks are a new modern Cellular Neural Networks inspired by the phenomenon of internal symmetry in quantum physics. Recurrent Internal Symmetry Networks are just studied very recently. In this paper, overfitting in recurrent cycles of Internal Symmetry Networks is analyzed. Back propagation is trained for an image processing task.
Intuitive Change of 3D Wand Function in Surface Design
Authors: Sang-Hun Nam, Hark-Su Kim, Young-Ho Chai
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

According to the target model for a designer to sketch, an effective style or shape of input device can be defined differently. The spatial sketch system that supports various types of wand can help to sketch efficiently. We suggest the idea of changing wand style by altering the posture of a 3D wand. This method allows a designer to work in intuitive ways without being interrupted by complicated menus. We implement the surface drawing and merging technique with the grid based data structure which deals with multiple strokes from various types of wand.
The Combination of JAVA with MATLAB Apply to Meteorology
Authors: Ma Li, Jiang Zhihong, Li Hao, Wu Dan
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

In this paper, through analyzing the characteristics of Matlab and Java, the advantages of using the Matlab interface and Java application in the area of programmers is apparent. After the introduction of the operation mechanism of Matlab engine and its related functions, we have made a harmonious connection between Matlab engine and the use of Java in image and data processing, which maximizes the strengths of Matlab in data processing as well as in the thread and interface of java.
High-Level Dataflow Transformations Using Taylor Expansion Diagrams
Authors: Maciej Ciesielski, Jeremie Guillot, Daniel Gomez-Prado, Emmanuel Boutillon
Venue: IEEE Design Test (2009)

Editor's note:This article provides an overview of a canonical representation for arithmetic expressions and how it can be used to obtain various factorizations of such expressions to optimize them. The applicability of the approach is demonstrated in a high-level synthesis flow.&#x2014;Andres Takach, Mentor Graphics
Fuzzy Clustering for Categorical Spaces
Authors: Nicola Fanizzi, Claudia D'Amato, Floriana Esposito
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It adopts effective and language-independent dissimilarity measures that are based on a finite number of dimensions corresponding to a committee of discriminating features(represented by concept descriptions). The clustering algorithm expresses the possible clusterings in tuples of central elements (medoids, w.r.t. the given metric) of variable length. It iteratively adjusts these centers following the rationale of fuzzy clustering approach, i.e. one where the membership to each cluster is not deterministic but rather ranges in the unit interval. An experimentation with some ontologies proves the feasibility of our method and its effectiveness in terms of clustering validity indices.
Catching metaphors
Authors: Matt Gedigian, John Bryant, Srini Narayanan, Branimir Ciric
Venue: Proceedings of the Third Workshop on Scalable Natural Language Understanding (2006)

Metaphors are ubiquitous in language and developing methods to identify and deal with metaphors is an open problem in Natural Language Processing (NLP). In this paper we describe results from using a maximum entropy (ME) classifier to identify metaphors. Using the Wall Street Journal (WSJ) corpus, we annotated all the verbal targets associated with a set of frames which includes frames of spatial motion, manipulation, and health. One surprising finding was that over 90% of annotated targets from these frames are used metaphorically, underscoring the importance of processing figurative language. We then used this labeled data and each verbal target's PropBank annotation to train a maximum entropy classifier to make this literal vs. metaphoric distinction. Using the classifier, we reduce the final error in the test set by 5% over the verb-specific majority class baseline and 31% over the corpus-wide majority class baseline.
Event-based applications and enabling technologies
Authors: Annika Hinze, Kai Sachs, Alejandro Buchmann
Venue: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (2009)

Event processing has become the paradigm of choice in many monitoring and reactive applications. However, the understanding of events, their composition and level of abstraction, the style of processing and the quality of service requirements vary drastically across application domains. We introduce the basic notions of event processing to create a common understanding, present the enabling technologies that are used for the implementation of event-based systems, survey a wide range of applications identifying their main features, and discuss open research issues.
Study on Information Security of Industry Management
Authors: Li Xuemei, Li Yan, Ding Lixing
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

This paper highlights the importance of protecting information security for industry management by investigating the multidimensional character of information security for industry management and the main industry management information risk sources. It points out that human is the most active and uncontrollable factor in information security. Human may be either the most vulnerable and dangerous or the most reliable and dependable element in information security management, depending upon the organization of the information security management. The human-focused mode of information security presented in this paper provides an effective mode of information security for industry management and thus can result in effective information security for industry management.
Energy Balance Hierarchical Data Aggregation Mechanism for Wireless Sensor Network
Authors: Guangsong Yang, Jiachun Zheng, Jianghong Shi, Huihuang Chen
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Abstract—To balance energy consumption for nodes in wirelesssensor network (WSN) is an important considering factor. Asimple model is set up to analytically evaluate the energyconsumption in WSN by using aggregation mechanism. It isshow that energy consumption of an aggregation nodeincreases so rapidly in the neighborhood of the sink node. Amodified hierarchical data aggregation strategy is proposed inorder to achieve balanced energy depletion by reducing thecluster head selection probability near the sink. Simulationresults show that, this method can reduce the energyconsumption efficiently and prolong the lifetime of the wholenetworks.
A Fuzzy Asymmetric GARCH model applied to stock markets
Authors: Jui-Chung Hung
Venue: Information Sciences: an International Journal (2009)

In this paper, we derive a new class of flexible threshold asymmetric Generalized Autoregression Conditional Heteroskedasticity (GARCH) models. We use this tool for analysis and modeling of the properties that are apparent in many financial time series. In general, the transmission of volatility in the stock market is time-varying, nonlinear, and asymmetric with respect to both positive and negative results. Given this fact, we adopt the method of fuzzy logic systems to modify the threshold values for an asymmetric GARCH model. Our simulations use stock market data from the Taiwan weighted index (Taiwan), the Nikkei 225 index (Japan), and the Hang Seng index (Hong Kong) to illustrate the performance of our proposed method. From the simulation results, we have determined that the forecasting of volatility performance is significantly improved if the leverage effect of clustering is considered along with the use of expert knowledge enabled by the GARCH model.
Temperature and Humidity Measure-Control System Based on CAN and Digital Sensors
Authors: Wu Zhuang, Jiao Zhi, Li Guo Hong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

This paper points to a Temperature and Humidity Measure-control System which has been applied to agriculture greenhouse. It's based on CAN bus and Digital Sensors. The system not only can friendly display the data to the users and store the date for further research, but also can control automatically or manually.
A Systematic Review of Technologies Designed to Improve and Assist Cognitive Decline for Both the Current and Future Aging Populations
Authors: Kelley Gurley, Anthony F. Norcio
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

This paper serves as a literature review focused on understanding the technologies available for all aging populations. It also presents some limitations involved in providing alternative health care and discusses some considerations to designing technologies for future aging populations.
Fabrication and testing of embedded microvalves within PMMA microfluidic devices
Authors: Alicia Guek Geok Toh, Sum Huan Ng, Zhenfeng Wang
Venue: Microsystem Technologies (2009)

The integration of a PDMS membrane within orthogonally placed PMMA microfluidic channels enables the pneumatic actuation of valves within bonded PMMA&#x2013;PDMS&#x2013;PMMA multilayer devices. Here, surface functionalization of PMMA substrates via acid catalyzed hydrolysis and air plasma corona treatment were investigated as possible techniques to permanently bond PMMA microfluidic channels to PDMS surfaces. FTIR and water contact angle analysis of functionalized PMMA substrates showed that air plasma corona treatment was most effective in inducing PMMA hydrophilicity. Subsequent fluidic tests showed that air plasma modified and bonded PMMA multilayer devices could withstand fluid leakage at an operational flow rate of 9&#x00a0;&#x03bc;l/min. The pneumatic actuation of the embedded PDMS membrane was observed through optical microscopy and an electrical resistance based technique. PDMS membrane actuation occurred at pneumatic pressures of as low as 10&#x00a0;kPa and complete valving occurred at 14&#x00a0;kPa for ~100&#x00a0;&#x03bc;m by 100&#x00a0;&#x03bc;m channel cross-sections.
A two-stage approach to retrieving answers for how-to questions
Authors: Ling Yin
Venue: Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (2006)

This paper addresses the problem of automatically retrieving answers for how-to questions, focusing on those that inquire about the procedure for achieving a specific goal. For such questions, typical information retrieval methods, based on key word matching, are better suited to detecting the content of the goal (e.g., 'installing a Windows XP server') than the general nature of the desired information (i.e., procedural, a series of steps for achieving this goal). We suggest dividing the process of retrieving answers for such questions into two stages, with each stage focusing on modeling one aspect of a how-to question. We compare the two-stage approach with two alternative approaches: a baseline approach that only uses the content of the goal to retrieve relevant documents and another approach that explores the potential of automatic query expansion. The result of the experiment shows that the two-stage approach significantly outperforms the baseline but achieves similar result with the systems using automatic query expansion techniques. We analyze the reason and also present some future work.
On the Parallelization of Self-Adaptive hp-Finite Element Methods Part II. Partitioning Communication Agglomeration Mapping (PCAM) Analysis
Authors: Maciej Paszyński
Venue: Fundamenta Informaticae (2009)

The paper presents a general methodology for an efficient parallelization of the fully automatic hp-adaptive Finite Element Method (hp-FEM). The self-adaptive hp-FEM algorithm expressed in terms of the graph grammar productions is analyzed by utilizing the Partitioning Communication Agglomeration Mapping (PCAM) model. The computational tasks are defined over a graph model of the computational mesh. It is done for all parts of the algorithm: the generation of an initial mesh, direct solver (including the integration and elimination of degrees of freedom), mesh transformations (including the h and p refinements), as well as the selection of the optimal refinements. The computation and communication complexities of the resulting parallel algorithms are analyzed. The paper is concluded with the sequence of massive parallel computations. From the performed tests it implies that the code scales well up to 200 processors.
A Routing Discovering Control of Multicast Routing with Multiple Constraints in Ad Hoc Networks
Authors: Yuan Ping, Zhang Yanhui, Wang Yuchen
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Multicast routing with multiple constraints has become a very significant research issue in Mobile Ad Hoc networks and focus on routing discovering. Compared with the existing methods, a routing discovering control with some constraints, such as delay, bandwidth and delay jitter, is described in this paper. Accordingly, a multicast routing protocol based on clustering (CMRP) is proposed. The each intra cluster node only maintains its cluster’s routing information, and the each bridge node maintains its cluster information and the summary information of other clusters. Extensive simulations show the good performance of CMRP, which can maximize the lifetime of Ad Hoc networks.
Estimation of Mobile Trajectory in a Wireless Network: A Basis for User's Mobility Profiling for Mobile Trajectoy Based Services
Authors: Sarfraz Khokhar, Arne A. Nilsson
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

A new trend of mobile wireless services based on trajectory of a mobile phone and hence that of a mobile user, called Mobile Trajectory Based Services (MTBS) is emerging. To provision MTBS, a mobile operator needs to determine the trajectories of a mobile user over a period of time (a week for example) and then save them as mobility profile. There are two major challenges in determining the trajectory of a mobile user: 1) Location estimation error 2) Location estimation polling frequency. We propose an adaptive polling method such that the polling is not frequent to overburden the air resources unnecessarily and it is not sparse that leads to an ambiguous and erroneous mobility profile. The polling method includes a new map matching scheme using GIS (Geographical Information System) map. The scheme is based on previous location, map topology and travel time from one intersection to other. So, from erroneous and moderately polled location points with time stamps, we form a spatiotemporal trajectory for a mobile user. A set of such trajectories for all days of the week would form a mobility profile, on which plethora of MTBS could be provisioned.