ppxscal/embedding_network huggingface dataset:
On classification and segmentation of massive audio data streams
Authors: Charu C. Aggarwal
Venue: Knowledge and Information Systems (2009)

In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voice streams. Typically such applications are encountered in real time intelligence and surveillance. In many cases, the data streams can be in compressed format, and the rate of data processing can often run at the rate of Gigabits per second. All known techniques for speaker voice analysis require the use of an offline training phase in which the system is trained with known segments of speech. The state-of-the-art method for text-independent speaker recognition is known as Gaussian mixture modeling (GMM), and it requires an iterative expectation maximization procedure for training, which cannot be implemented in real time. In many real applications (such as surveillance) it is desirable to perform the recognition process in online time, so that the system can be quickly adapted to new segments of the data. In many cases, it may also be desirable to quickly create databases of training profiles for speakers of interest. In this paper, we discuss the details of such an online voice recognition system. For this purpose, we use our micro-clustering algorithms to design concise signatures of the target speakers. One of the surprising and insightful observations from our experiences with such a system is that while it was originally designed only for efficiency, we later discovered that it was also more accurate than the widely used GMM. This was because of the conciseness of the micro-cluster model, which made it less prone to over training. This is evidence of the fact that it is often possible to get the best of both worlds and do better than complex models both from an efficiency and accuracy perspective. We present experimental results illustrating the effectiveness and efficiency of the method.
Fuzzy linear and nonlinear discriminant analysis algorithms for face recognition
Authors: Khalid Chougdali, Mohamed Jedra, Noureddine Zahid
Venue: Intelligent Data Analysis (2009)

This paper presents two novels algorithms based on fuzzy logic and discriminant analysis for face recognition. The first one is a fuzzy extension of a linear discriminant analysis algorithm namely LDA/QR and the second one is a fuzzy extension of kernel scatter-difference based discriminant analysis (KSDA) algorithm. They can deal with small sample size and nonlinear problems which degrade the performance of face recognition system. Experimental results on the ORL and the extended Yale B face databases show that the two proposed approaches, using fuzzy logic, achieves a better performance in face recognition compared with their original versions.
Case-Based Collective Inference for Maritime Object Classification
Authors: Kalyan Moy Gupta, David W. Aha, Philip Moore
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

Maritime assets such as merchant and navy ships, ports, and harbors, are targets of terrorist attacks as evidenced by the USS Cole bombing. Conventional methods of securing maritime assets to prevent attacks are manually intensive and error prone. To address this shortcoming, we are developing a decision support system that shall alert security personnel to potential attacks by automatically processing maritime surveillance video. An initial task that we must address is to accurately classify maritime objects from video data, which is our focus in this paper. Object classification from video images can be problematic due to noisy outputs from image processing. We approach this problem with a novel technique that exploits maritime domain characteristics and formulates it as a graph of spatially related objects. We then apply a case-based collective classification algorithm on the graph to classify objects. We evaluate our approach on river traffic video data that we have processed. We found that our approach significantly increases classification accuracy in comparison with a conventional (i.e., non-relational) alternative.
Dialogues of Locations: BlueSpot
Authors: András Kangyal, László Laufer
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

We designed and implemented an experimental communication system called BlueSpot, which was functioning for 3 months in Budapest, Hungary. It was a free communication system that connected nearly 50 geographical locations in the city into a network. In BlueSpot users could send messages to localities instead of people using the Bluetooth service of their mobile phones. Messages were received by all users present at the target location. We are describing the system architecture and our experiences with the interaction design of the BlueSpot application. We also provide an analysis of the content of the messages, revealing user experiences in a synchronous location based communication system.
Exploring Propinquity in Global Software Engineering
Authors: Rafael Prikladnicki
Venue: Proceedings of the 2009 Fourth IEEE International Conference on Global Software Engineering (2009)

In social psychology, propinquity refers to the physical (objective) or psychological (subjective) proximity between people. In this paper, we explore the psychological dimension of propinquity, by examining the phenomenon of feeling distant from geographically distributed people, in the context of distributed software teams. The lack of perceived distance is an important challenge faced by distributed teams, and it is frequently caused by factors beyond the physical distance, such as communication and cultural differences. The purpose of this paper is to propose and evaluate the usage of an innovative model to quantitatively evaluate the perceived distance in this context. The model was applied in a software development project with teams located in India and Brazil, and feedback was given by experts in the field. We present the model, details of its applications, analysis of the results, lessons learned, and practical implications for the management of distributed software projects and teams.
Proceedings of the Workshop on Coreference and its Applications
Authors: Amit Bagga, Breck Baldwin, Sara Shelton
Venue: ACL Workshops (1999)

Coreference is in some sense nature's own hyperlink. It conveys how individual statements are connected within documents, across documents and across bodies of human knowledge. Consequently coreference resolution algorithms are at the core of Natural Language Processing. Most of the work done on coreference deals with a single language and a single text document (usually newswire).
Neurodynamic Optimization and Its Applications in Robotics
Authors: Wang Jun
Venue: Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics (2009)

Optimization problems arise in a wide variety of scientific and engineering applications. It is computationally challenging when optimization procedures have to be performed in real time to optimize the performance of dynamical systems. For such applications, classical optimization techniques may not be competent due to the problem dimensionality and stringent requirement on computational time. One very promising approach to dynamic optimization is to apply artificial neural networks.Because of the inherent nature of parallel and distributed information processing in neural networks, the convergence rate of the solution process is not decreasing as the size of the problem increases. Neural networks can be implemented physically in designated hardware such as ASICs where optimization is carried out in a truly parallel and distributed manner. This feature is particularly desirable for dynamic optimization in decentralized decision-making situations arising frequently in robotics and control. In this talk, I will present the historic review and the state of the art of neurodynamic optimization models and selected applications in robotics. Specifically, starting from the motivation of neurodynamic optimization, we will review various recurrent neural network models for optimization. Theoretical results about the stability and optimality of the neurodynamic optimization models will be given along with illustrative examples and simulation results. It will be shown that many fundamental problems in robotics, such as robot motion planning and obstacle avoidance, can be readily solved by using the neurodynamic optimization models. 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
An Efficient Video Coding Scheme Based on Ridgelet Transform
Authors: Chengzhi Deng, Shengqian Wang, Hui Sun
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

The improvement of video coding performances is depended on how to improve the coding performances of motion compensation prediction error information, which is also called Displaced Frame Difference (DFD). In this paper, a novel tree structure multiscale ridgelet dictionary based multi-atoms matching pursuit DFD coding scheme is proposed. Firstly, the DFD is sparsely decomposed by multiscale ridgelet dictionary and multi-atoms matching pursuit. Then, the decomposed coefficients are adaptively quantized and encoded. Experimental results show that the performances of the new coding scheme outperform the state of the art H.264/AVC at low bit rate in term of both PSNR and visual quality.
Programming with Microsoft Visual Basic 2008
Authors: Diane Zak
Venue:  (2009)

"Programming with Microsoft Visual Basic 2008, Fourth Edition, International Edition" by the best-selling author, Diane Zak, is designed for a first course in programming. Using the most recent version of the software, Visual Basic 2008, this book teaches individuals how to use Visual Basic applications as they would in a real world setting. It helps students with no previous programming experience learn how to plan and create their own interactive windows applications. GUI design skills and Object-Oriented Programming concepts are emphasized throughout the book.
Versions to Address Business Process Flexibility Issue
Authors: Mohamed Amine Chaâbane, Eric Andonoff, Rafik Bouaziz, Lotfi Bouzguenda
Venue: Proceedings of the 13th East European Conference on Advances in Databases and Information Systems (2009)

This paper contributes to address an important issue in business process management: the Business Process (BP) flexibility issue. First, it defends that versions are an interesting solution to deal with both a priori (when designing BPs) and a posteriori (when executing BPs) flexibility. It also explains why previous contributions about versions of BPs are incomplete, and need to be revisited. Then, the paper presents a meta-model for BP versions, which combines five perspectives -the functional, process, informational, organizational and operation perspectives- for BP modelling, and which allows a comprehensive description of versionalized BPs.
On Minimizing the Maximum Sensor Movement for Barrier Coverage of a Line Segment
Authors: J. Czyzowicz, E. Kranakis, D. Krizanc, I. Lambadaris, L. Narayanan, J. Opatrny, L. Stacho, J. Urrutia, M. Yazdani
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

We consider n mobile sensors located on a line containing a barrier represented by a finite line segment. Sensors form a wireless sensor network and are able to move within the line. An intruder traversing the barrier can be detected only when it is within the sensing range of at least one sensor. The sensor network establishes barrier coverage of the segment if no intruder can penetrate the barrier from any direction in the plane without being detected. Starting from arbitrary initial positions of sensors on the line we are interested in finding final positions of sensors that establish barrier coverage and minimize the maximum distance traversed by any sensor. We distinguish several variants of the problem, based on (a) whether or not the sensors have identical ranges, (b) whether or not complete coverage is possible and (c) in the case when complete coverage is impossible, whether or not the maximal coverage is required to be contiguous. For the case of n sensors with identical range, when complete coverage is impossible, we give linear time optimal algorithms that achieve maximal coverage, both for the contiguous and non-contiguous case. When complete coverage is possible, we give an O(n 2) algorithm for an optimal solution, a linear time approximation scheme with approximation factor 2, and a (1 + ¿) PTAS. When the sensors have unequal ranges we show that a variation of the problem is NP-complete and identify some instances which can be solved with our algorithms for sensors with unequal ranges.
Extensions of simple conceptual graphs: the complexity of rules and constraints
Authors: Jean-Françs Baget, Marie-Laure Mugnier
Venue: Journal of Artificial Intelligence Research (2002)

Simple conceptual graphs are considered as the kernel of most knowledge representation formalisms built upon Sowa's model. Reasoning in this model can be expressed by a graph homomorphism called projection, whose semantics is usually given in terms of positive, conjunctive, existential FOL. We present here a family of extensions of this model, based on rules and constraints, keeping graph homomorphism as the basic operation. We focus on the formal definitions of the different models obtained, including their operational semantics and relationships with FOL, and we analyze the decidability and complexity of the associated problems (consistency and deduction). As soon as rules are involved in reasonings, these problems are not decidable, but we exhibit a condition under which they fall in the polynomial hierarchy. These results extend and complete the ones already published by the authors. Moreover we systematically study the complexity of some particular cases obtained by restricting the form of constraints and/or rules.
Research Summary: Logic Programming for Massively Distributed Systems
Authors: Michael P. Ashley-Rollman
Venue: Proceedings of the 25th International Conference on Logic Programming (2009)

My research focuses on finding a better way to program massively distributed systems. Programming these systems is crucial as we move into a world where they are increasingly necessary. Unforunately, existing concurrency models in modern languages are very difficult for programmers to understand and to reason about. Many programmers have an extremely hard time writing and debugging concurrent programs, let alone massively distributed ones. Race conditions, in particular, are among the most challenging bugs to find, understand, and resolve.
Hierarchical Structure: A Step for Jointly Designing Interactive Software Dialog and Task Model
Authors: Sybille Caffiau, Patrick Girard, Laurent Guittet, Dominique L. Scapin
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

In order to design interactive applications, the first step is usually the definition of user needs. While performing this step, activities may be modeled using task models. Some task model components express scheduling information that describes the task dynamics. According to a model-based approach, the dynamics of applications (i.e.: the dialog) can be formalized using a dialog model. Several approaches seek to exploit the task model information to perform the dialog model. This paper aims to show that the use of the hierarchical dialog model facilitates its design according to task model information during the whole iterative design process.
Dynamic rank/select structures with applications to run-length encoded texts
Authors: Sunho Lee, Kunsoo Park
Venue: Theoretical Computer Science (2009)

Given an n-length text over a @s-size alphabet, we propose a framework for dynamic rank/select structures on the text and some of its applications. For a small alphabet with @s@?logn, we propose a two-level structure consisting of a counting scheme and a storing scheme that supports O(logn) worst-case time rank/select operations and O(logn) amortized time insert/delete operations. For a large alphabet with logn
3D Target Location Algorithm with One Single Camera
Authors: Kang Wang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

A new 3D target location algorithm is proposed, which is based on a series of images taken by one camera. A non-linear transformation mathematical model taking the lens distortion into account is built. Through the corresponding relationship between the characteristic points in the world and those in the images, the parameters of the transformation matrix are determined. Simulation by the MATLAB graphics processing functions shows that it is feasible to realize the non-linear locating model, which has high accuracy and stability.
The End of Hardware, 3rd Edition: Augmented Reality and Beyond, 3rd edition
Authors: Rolf R. Hainich
Venue:  (2009)

Drag those windows from your screen and into the air in front of you. Use a simple glance to switch lights, open doors or surf the web. Virtual devices, virtual objects will surround us, anywhere. Only one piece of real hardware will do it all, replace anything. From concept to design to even a fiction part, "this book is a blueprint for an entire technology". The new edition has been greatly extended, with many new ideas and materials. From the foreword by Oliver Bimber: "Despite a technological focus, the book is written in a popular-scientific style - and therefore allows easy access to the material - even for non-experts. If I were to characterize this book in a single word, that word would be 'inspiring'. I can only hope that one day, someone will pick up and realize these ideas. For although, this might not be the 'End of Hardware' - it could well be the beginning of many new and exciting interfaces to the digital world in which we all live in.". 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
Augmenting Sticky Notes as an I/O Interface
Authors: Pranav Mistry, Pattie Maes
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

The design and implementation of systems that combine both the utilities of the digital world as well as intrinsic affordances of traditional artifacts are challenging. In this paper, we present `Quickies', an attempt to bring one of the most useful inventions of the 20th century into the digital age: the ubiquitous sticky notes. `Quickies' enriches the experience of using stickynotes by linking hand-written sticky-notes to the mobile phone, digital calendars, task-lists, e-mail and instant messaging clients. By augmenting the familiar and ubiquitous physical sticky-note, `Quickies' leverages existing patterns of behavior, merging paper-based sticky-note usage with the user's informational experience. The project explores how the use of Artificial Intelligence (AI), Natural Language Processing (NLP), RFID, and ink recognition technologies can make it possible to create intelligent sticky notes that can be searched, located, can send reminders and messages, and more broadly, can act as an I/O interface to the digital information world.
Mental Models in Process Visualization - Could They Indicate the Effectiveness of an Operator's Training?
Authors: Karin Schweizer, Denise Gramß, Susi Mühlhausen, Birgit Vogel-Heuser
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

Nowadays process plant visualizations and operations take place without the operator's physical presence at the technical device. As a conesquence a lot of complex systems must be visualized simultaneously on one or more monitors. Conventional two-dimensional man machine interfaces hardly meet the requirements of those increasing complexity of production processes. One approach to deal with the increasing number of faults during process plant monitoring is the creation and implementation of 3D visualizations. We examined the development of mental models with 2D and 3D visualizations and different forms of training (freeze image vs. slider vs. slider with interaction) regarding completeness and structure as well as the relation of the quality of problem solving and the accurate recognizing of critical situations. Additionally, we investigated the mental demand in different groups of visualization and training.
Sign Language Recognition, Generation, and Modelling: A Research Effort with Applications in Deaf Communication
Authors: Eleni Efthimiou, Stavroula-Evita Fotinea, Christian Vogler, Thomas Hanke, John Glauert, Richard Bowden, Annelies Braffort, Christophe Collet, Petros Maragos, Jérémie Segouat
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

Sign language and Web 2.0 applications are currently incompatible, because of the lack of anonymisation and easy editing of online sign language contributions. This paper describes Dicta-Sign, a project aimed at developing the technologies required for making sign language-based Web contributions possible, by providing an integrated framework for sign language recognition, animation, and language modelling. It targets four different European sign languages: Greek, British, German, and French. Expected outcomes are three showcase applications for a search-by-example sign language dictionary, a sign language-to-sign language translator, and a sign language-based Wiki.
Design a Multi-Touch Table and Apply to Interior Furniture Allocation
Authors: Chien-Hsu Chen, Ken-Hao Nien, Fong-Gong Wu
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

This is a study based on the integration of FTIR multi-touch technology with Industrial Design to produce a multi-touch table. An multi-touch system interface is also developed through this study. Furniture allocation is applied as the content to provide users practical operating experience on the multi-touch interface. The process includes FTIR structure related testing, hardware technology and specifications; and the exterior design. The system interface includes image recognition system and multi-touch application, and is developed in FLASH. This study not only uses the easy-to-use characteristics of the multi-touch technology but also integrates PV3D to link the 3D scene with the user interface. This provides a real-time 3D simulation image that the user can view the result of the furniture allocation while controlling the user interface. Observation and interviews are made on the users to evaluate the advantages and related problems of the multi-touch technology for future study and development.