ppxscal/embedding_network huggingface dataset:
Alternative Feature Mapping for Heterogeneous Gene Data Classification
Authors: Victor C. Liang, Vincent T. Y. Ng
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

In order to overcome the limitation on small sizes of gene datasets, many meta-classification methods which ensemble classifiers with different datasets have been developed. However, due to discrepancies of the characteristics within heterogeneous or cross-platform datasets, the number of common and significant genes is usually small. Instead of matching common genes between heterogeneous datasets, we propose a novel solution, alternative feature mapping approach (AFM), to utilize related and discriminative gene expressions while not necessarily having exact matches. Genes in the training dataset are clustered and mapped to the test dataset as gene groups. Through analyzing the correlation within gene groups between training and test datasets, related significant genes can be applied for classification. We conducted experiments consisting of 8 heterogeneous datasets with different cancer types and platforms to test the effectiveness of AFM. Our experiments show that classification performance is greatly improved using suitable significant genes selected by AFM.
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
Authors: Manuel Martín-Merino, Javier Las Rivas
Venue: Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII (2009)

The k Nearest Neighbor classifier has been applied to the identification of cancer samples using the gene expression profiles with encouraging results. However, k-NN relies usually on the use of Euclidean distances that fail often to reflect accurately the sample proximities. Non Euclidean dissimilarities focus on different features of the data and should be integrated in order to reduce the misclassification errors.In this paper, we learn a linear combination of dissimilarities using a regularized kernel alignment algorithm. The weights of the combination are learnt in a HRKHS (Hyper Reproducing Kernel Hilbert Space) using a Semidefinite Programming algorithm. This approach allow us to incorporate a smoothing term that penalizes the complexity of the family of distances and avoids overfitting.The experimental results suggest that the method proposed outperforms other metric learning strategies and improves the classical k-NN algorithm based on a single dissimilarity.
If a Student Takes Control: Facilitator's Tasks and Responsibilities
Authors: Terje Väljataga
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

This paper presents initial research results of an intervention into higher educational teaching and studying practices from facilitators` point of view. The intervention was implemented into an international Master's level online course mediated by landscapes of social media tools and services. In this course more emphasis was put on a shift of control from a facilitator to a student or a group of students in the following aspects: setting up one's study goals, choosing activities, selecting appropriate resources, including technology and defining one's evaluation criteria. The initial analysis showed that the facilitators gained a lot in terms of understanding the benefits of exploiting social media tools and services for their teaching practices, perceiving a need of having a different role as well as the shortages and problems while being a facilitator in such a course.
Risk-sensitive planning with one-switch utility functions: value iteration
Authors: Yaxin Liu, Sven Koenig
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

Decision-theoretic planning with nonlinear utility functions is important since decision makers are often risk-sensitive in high-stake planning situations. One-switch utility functions are an important class of nonlinear utility functions that can model decision makers whose decisions change with their wealth level. We study how to maximize the expected utility of a Markov decision problem for a given one-switch utility function, which is difficult since the resulting planning problem is not decomposable. We first study an approach that augments the states of the Markov decision problem with the wealth level. The properties of the resulting infinite Markov decision problem then allow us to generalize the standard risk-neutral version of value iteration from manipulating values to manipulating functions that map wealth levels to values. We use a probabilistic blocks-world example to demonstrate that the resulting risk-sensitive version of value iteration is practical.
On the Implementation of Weight Constraint Rules in Conflict-Driven ASP Solvers
Authors: Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Torsten Schaub
Venue: Proceedings of the 25th International Conference on Logic Programming (2009)

We present the first comprehensive approach to integrating cardinality and weight rules into conflict-driven ASP solving. We begin with a uniform, constraint-based characterization of answer sets in terms of nogoods. This provides the semantic underpinnings of our approach in fixing all necessary inferences that must be supported by an appropriate implementation. We then provide key algorithms detailing the salient features needed for implementing weight constraint rules. This involves a sophisticated unfounded set checker as well as an extended propagation algorithm along with the underlying data structures. We implemented our techniques within the ASP solver clasp and demonstrate their effectiveness by an experimental evaluation.
Towards Ambient Augmented Reality with Tangible Interfaces
Authors: Mark Billinghurst, Raphaël Grasset, Hartmut Seichter, Andreas Dünser
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

Ambient Interface research has the goal of embedding technology that disappears into the user's surroundings. In many ways Augmented Reality (AR) technology is complimentary to this in that AR interfaces seamlessly enhances the real environment with virtual information overlay. The two merge together in context aware Ambient AR applications, which allow users to easily perceive and interact with Ambient Interfaces by using AR overlay of the real world. In this paper we describe how Tangible Interaction techniques can be used for Ambient AR applications. We will present a conceptual framework for Ambient Tangible AR Interface, a new generation of software and hardware tools for development and methods for evaluating Ambient Tangible AR Interfaces.
Security in Ad Hoc Networks: From Vulnerability to Risk Management
Authors: Marianne A. Azer, Sherif M. El-Kassas, Magdy S. El-Soudani
Venue: Proceedings of the 2009 Third International Conference on Emerging Security Information, Systems and Technologies (2009)

Mobile Ad hoc Networks (MANETs) have lots of applications. Due to the features of open medium, absence of infrastructure, dynamic changing network topology, cooperative algorithms, lack of centralized monitoring and management point, resource constraints and lack of a clear line of defense, these networks are vulnerable to attacks. A vital problem that must be solved in order to realize these applications is that concerning the security aspects of such networks. Solving these problems combined with the widespread availability of devices such as PDAs, laptops, small fixtures on buildings and cellular phones will ensure that ad hoc networks will become an indispensable part of our life. In this paper, we discuss the reasons of vulnerability as well as active and passive attacks on such networks. We present the security measures used to secure ad hoc networks such as authentication, threshold cryptography, trust and reputation, and present a risk management scheme. Concluding remarks are presented at the end of this paper, while mentioning the different open research areas and challenges in the discussed security measures.
The Implementation of A Mobile Bus Route Selection System
Authors: Tang Songsheng, Liu Xiaopeng, Tao Arong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

This paper introduces Java 2 Platform Micro Edition (J2ME) technology and database procedure, which implemented a bus route selection system based on B/S structure and HTTP protocol. The server can simultaneously handle the request from the browser, the terminal which the end user uses can get the information he wants to get in anywhere and the bus information he wants to change, only if it supports JAVA and WAP.
Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR
Authors: Feng Zhou, Henry Been-Lirn Duh, Mark Billinghurst
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Although Augmented Reality technology was first developed over forty years ago, there has been little survey work giving an overview of recent research in the field. This paper reviews the ten-year development of the work presented at the ISMAR conference and its predecessors with a particular focus on tracking, interaction and display research. It provides a roadmap for future augmented reality research which will be of great value to this relatively young field, and also for helping researchers decide which topics should be explored when they are beginning their own studies in the area.
Lexical morphology in machine translation: a feasibility study
Authors: Bruno Cartoni
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

This paper presents a feasibility study for implementing lexical morphology principles in a machine translation system in order to solve unknown words. Multilingual symbolic treatment of word-formation is seducing but requires an in-depth analysis of every step that has to be performed. The construction of a prototype is firstly presented, highlighting the methodological issues of such approach. Secondly, an evaluation is performed on a large set of data, showing the benefits and the limits of such approach.
Research on Knowledge Management Based on Public Innovation Platform
Authors: Qiu-Lan Ye, Ming Qi
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

Argument about research of knowledge management (KM) and public innovation platform (PIP) always exists. But nobody combines KM with PIP to research. This paper starts with the conclusion of PIP stages. According to previous research, the paper analyses the conception of PIP, the structure of PIP, the functions of PIP, etc. On this basis, this paper puts forward some new methods of KM based on PIP as well as the advantages of the improved model.
Optimizing endpointing thresholds using dialogue features in a spoken dialogue system
Authors: Antoine Raux, Maxine Eskenazi
Venue: Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue (2008)

This paper describes a novel algorithm to dynamically set endpointing thresholds based on a rich set of dialogue features to detect the end of user utterances in a dialogue system. By analyzing the relationship between silences in user's speech to a spoken dialogue system and a wide range of automatically extracted features from discourse, semantics, prosody, timing and speaker characteristics, we found that all features correlate with pause duration and with whether a silence indicates the end of the turn, with semantics and timing being the most informative. Based on these features, the proposed method reduces latency by up to 24% over a fixed threshold baseline. Offline evaluation results were confirmed by implementing the proposed algorithm in the Let's Go system.
Leveraging Call Center Logs for Customer Behavior Prediction
Authors: Anju G. Parvathy, Bintu G. Vasudevan, Abhishek Kumar, Rajesh Balakrishnan
Venue: Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII (2009)

Most major businesses use business process outsourcing for performing a process or a part of a process including financial services like mortgage processing, loan origination, finance and accounting and transaction processing. Call centers are used for the purpose of receiving and transmitting a large volume of requests through outbound and inbound calls to customers on behalf of a business. In this paper we deal specifically with the call centers notes from banks. Banks as financial institutions provide loans to non-financial businesses and individuals. Their call centers act as the nuclei of their client service operations and log the transactions between the customer and the bank. This crucial conversation or information can be exploited for predicting a customer's behavior which will in turn help these businesses to decide on the next action to be taken. Thus the banks save considerable time and effort in tracking delinquent customers to ensure minimum subsequent defaulters. Majority of the time the call center notes are very concise and brief and often the notes are misspelled and use many domain specific acronyms. In this paper we introduce a novel domain specific spelling correction algorithm which corrects the misspelled words in the call center logs to meaningful ones. We also discuss a procedure that builds the behavioral history sequences for the customers by categorizing the logs into one of the predefined behavioral states. We then describe a pattern based predictive algorithm that uses temporal behavioral patterns mined from these sequences to predict the customer's next behavioral state.
cfHMI: A Novel Contact-Free Human-Machine Interface
Authors: Tobias Rehrl, Alexander Bannat, Jürgen Gast, Gerhard Rigoll, Frank Wallhoff
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

In this paper we present our approach for a new contact-free Human-Machine Interface (cfHMI). This cfHMI is designed for controlling applications --- instruction presentation, robot control --- in the so-called "Cognitive Factory Scenario", introduced in [1]. However, the interface can be applied in other environments and areas of application as well. Due to its generic approach, this low-cost contact-free interface can be easily adapted to several independent applications, featuring individual menu-structures, etc. In addition, the modular software architecture facilitates the upgrades and improvements of the different software modules embedded in the cfHMI.
Parallel Medical Image Reconstruction: From Graphics Processors to Grids
Authors: Maraike Schellmann, Sergei Gorlatch, Dominik Meiländer, Thomas Kösters, Klaus Schäfers, Frank Wübbeling, Martin Burger
Venue: Proceedings of the 10th International Conference on Parallel Computing Technologies (2009)

We present a variety of possible parallelization approaches for a real-world case study using several modern parallel and distributed computer architectures. Our case study is a production-quality, time-intensive algorithm for medical image reconstruction used in computer tomography. We describe how this algorithm can be parallelized for the main kinds of contemporary parallel architectures: shared-memory multiprocessors, distributed-memory clusters, graphics processors, the Cell processor and, finally, how various architectures can be accessed in a distributed Grid environment. The main contribution of the paper, besides the parallelization approaches, is their systematic comparison regarding four important criteria: performance, programming comfort, accessibility, and cost-effectiveness. We report results of experiments on particular parallel machines of different architectures that confirm the findings of our systematic comparison.
Application of GIS Technology in Chinese Tourism
Authors: Lifang Qiao, Yichuan Zhang, Wenjie Zhang, Da Mao, Lianfang Yao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The sustainable development of tourism needs the support of GIS (geographic information system) technology. The aim of this paper is to provide the basis for the Chinese tourism by summarizing the application of GIS technology. In Chinese tourism, GIS mainly applies in the following several aspects: investigation of tourism resources and the development of tourism products; tourism landscape planning including landscape mapping, spatial analysis, tourist communications, landscape visualization; tourism information management; tour guide system and so on. The results show that the GIS technology already widely applied in many aspects in Chinese tourism, many cities and scenic zones established the digital management system to make the management to be more scientific and highly effective. But, there are insufficient in many aspects such as landscape planning & design and the visual emulation. Therefore, it is necessary to pay more attention to the following aspects in future research: researching and developing landscape special-purpose GIS software to make the landscape planning & design to be more scientific and easy to operate; establishing national tourism information management system to realize the resource sharing; establishing the three-dimensional visualization model of scenic zone to provide convenience for the plan, the tour guide and so on; applying GIS in the safe monitor and early warning; combining GIS with market, product, network to make tourism information face to each computer user.
Can Haptics Facilitate Interaction with an In-Vehicle Multifunctional Interface?
Authors: Annie Rydstrom, Robert Brostrom, Peter Bengtsson
Venue: IEEE Transactions on Haptics (2009)

A driving simulator study was conducted to investigate whether interaction with an in-vehicle multifunctional interface maneuvered by a rotary control can be improved if assisting haptics is provided. Two conditions were compared in the study, one in which neutral haptics was provided through the rotary control and another in which enhanced haptics was provided. Participants drove on a curved rural road while performing tasks such as list scrolling, radio tuning, address and number entry, and sound settings adjustments. When enhanced haptics was provided, the radio tuning was faster and fewer glances to the display were required, and the sound settings adjustments were completed with a reduced duration of the glances. However, improvements are needed for the other tasks. Enhanced haptics seems to facilitate interaction with functions in which the sensations can be incorporated in an intuitive way.
Chaos-Based Semi-Blind Watermarking for CAD Models
Authors: Nan Liu, Yin Zhang, Zhiyang Chen, Sanyuan Zhang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Digital watermarking technique is becoming one of the hot research fields of copyright protecting, private detection for CAD graphic data under the network environment.But existing watermarking algorithms for polygonal meshes and their attributes can’t be applied to the majority of computer aided design(CAD) applications, for two major reasons.First, these CAD systems employ parametric curves and surfaces, not polygonal meshes, as their main shape defining primitives. Second, most CAD applications do not tolerate modifications of model topology and/or geometry that are introduced by existing watermarking algorithms.In this paper we propose a watermarking mechanism for CAD models, those employ non-uniform rational B-spline(NURBS) curves and surfaces as their main shape-defining primitives. This mechanism using relative knot insertion method embeds the watermarks generated by chaotic map into the NURBS primitives, and it exactly preserves the shapes. Since it is a semi-blind watermarking algorithm,we need just the original message to extract the watermarks from the watermarked models, and after comparing them with the original one we can tell whether there is the watermark in this CAD model upon the similarity. The experimental results shows that our watermarking mechanism is robust against most common attacks.
Bit-Serial and Bit-Parallel Montgomery Multiplication and Squaring over GF(2^m)
Authors: Arash Hariri, Arash Reyhani-Masoleh
Venue: IEEE Transactions on Computers (2009)

Multiplication and squaring are main finite field operations in cryptographic computations and designing efficient multipliers and squarers affect the performance of cryptosystems. In this paper, we consider the Montgomery multiplication in the binary extension fields and study different structures of bit-serial and bit-parallel multipliers. For each of these structures, we study the role of the Montgomery factor, and then by using appropriate factors, propose new architectures. Specifically, we propose two bit-serial multipliers for general irreducible polynomials, and then derive bit-parallel Montgomery multipliers for two important classes of irreducible polynomials. In this regard, first we consider trinomials and provide a way for finding efficient Montgomery factors which results in a low time complexity. Then, we consider type-II irreducible pentanomials and design two bit-parallel multipliers which are comparable to the best finite field multipliers reported in the literature. Moreover, we consider squaring using this family of irreducible polynomials and show that this operation can be performed very fast with the time complexity of two XOR gates.
Algorithm for XML Schema Extraction Based on Node Relative Path
Authors: Hong-Bin Cheng, Xia Sun
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Schema extracting for XML is broadly used in the field of data storing, query optimization and heterogeneous data integration. This paper presents a method based on noderelative path for extracting XML Schema. The new approachfinishes extracting schema by scanning XML document onceoverand extracting nodes and relative paths. It can overcomethe defects including circles and Lack of sides. This approach requires lower cost and has more efficiency for the final schema information.