ppxscal/embedding_network huggingface dataset:
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Authors: F. Lin, C. Fookes, V. Chandran, S. Sridharan
Venue: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (2006)

Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difficult to implement for real-time use due to their complexity and high computational demand. As a large portion of processing time is dedicated to registering the lowresolution images, many have adopted global motion models in order to improve efficiency. The drawback of such global models is that they can not accommodate for complex local motions, such as multiple objects moving independently across and static or dynamic background as frequently occurs in a surveillance environment. Local methods like optical flow can compensate for these situations, although it is achieved at the expense of computation time. In this paper, experiments have been carried out to investigate how motion models of different super-resolution reconstruction algorithms affect reconstruction error and face recognition rates in a surveillance environment. Results show that lower reconstruction error doesn't necessarily imply better recognition rates and the use of local motion models yields better recognition rates than global motion models.
Resolution of Encoding Conflicts by Signal Insertion and Concurrency Reduction Based on STG Unfoldings
Authors: Victor Khomenko, Agnes Madalinski, Alex Yakovlev
Venue: Proceedings of the Sixth International Conference on Application of Concurrency to System Design (2006)

A combined framework for the resolution of encoding conflicts in STG unfoldings is presented, which extends previous work by incorporating concurrency reduction in addition to signal insertion. Furthermore, a novel validity condition is proposed to justify these transformations. The method has been implemented in the CONFRES tool and applied to a number of case studies. The experimental results show that the combined framework enlarges the design space and allows better exploration of the speed/area tradeoff.
Multi-View Stereo Revisited
Authors: Michael Goesele, Brian Curless, Steven M. Seitz
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (2006)

We present an extremely simple yet robust multi-view stereo algorithm and analyze its properties. The algorithm first computes individual depth maps using a window-based voting approach that returns only good matches. The depth maps are then merged into a single mesh using a straightforward volumetric approach. We show results for several datasets, showing accuracy comparable to the best of the current state of the art techniques and rivaling more complex algorithms.
Polynomial Identity Testing for Depth 3 Circuits
Authors: Neeraj Kayal, Nitin Saxena
Venue: Proceedings of the 21st Annual IEEE Conference on Computational Complexity (2006)

We study the identity testing problem for depth 3 arithmetic circuits (\Sigma\Pi\Sigma circuit). We give the first deterministic polynomial time identity test for \Sigma\Pi\Sigma circuits with bounded top fanin. We also show that the rank of a minimal and simple \Sigma\Pi\Sigma circuit with bounded top fanin, computing zero, can be unbounded. These results answer the open questions posed by Klivans-Spielman [KS01] and Dvir-Shpilka [DS05].
Agent-based Service-Oriented Intelligent P2P Networks for Distributed Classification
Authors: V. Gorodetskiy, O. Karsaev, V. Samoilov, S. Serebryakov
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

The paper addresses a new class of distributed intelligent systems emerging at the cross boundary of a number of new advanced topics of modern information technology, i.e. peer-to-peer systems, multi-agent systems, distributed data mining and classification, service-oriented architectures, etc. The paper objective is, based on proof-of-concept case studies, to emulate and evaluate the service search and delivery processes using distributed "yellow pages" of agents operating on peer-to-peer basis, while assuming that the services are specified in FIPA-like format. The paper is developing an idea of using agent-based service oriented intelligent networks for distributed classification. It also presents two software prototypes of the "proof-of-concept" level explicating the problem peculiarities and demonstrating the proposed solutions.
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Authors: Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as well as location. Aside from timestamp, type and location are the two additional aspects. How to model such streams? How to simultaneously find patterns within and across the multiple aspects? How to do it incrementally in a streaming fashion? In this paper, all these problems are addressed through a general data model, tensor streams, and an effective algorithmic framework, window-based tensor analysis (WTA). Two variations of WTA, independent-window tensor analysis (IW) and moving-window tensor analysis (MW), are presented and evaluated extensively on real datasets. Finally, we illustrate one important application, Multi-Aspect Correlation Analysis (MACA), which uses WTA and we demonstrate its effectiveness on an environmental monitoring application.
Web based evaluation of material handling alternatives for automated manufacturing: a parallel replications approach
Authors: William E. Biles, J. Brian Casebier
Venue: Proceedings of the 36th conference on Winter simulation (2004)

This paper describes the application of a master/slave configuration of processors to study a comparison of alternative material handling configurations for automated manufacturing. Such a study usually requires a large number of simulation replications, and carrying out those replications on a multi-processor platform yields significant savings in elapsed time. In the present application, a master processor carries out the statistical computations for a 2k factorial design on up to eight slave processors. This paper will compare the results from using two, four and eight processors.
Automated music analysis using dynamic graphical models
Authors: Michael Jordan
Venue:  (2005)

Music transcription refers to the process of listening to a piece of music and generating the underlying musical score. This is a task that has traditionally required a musician trained in transcription. A robust automated music transcription system would have applications to the music information retrieval (MIR) community, such as automated indexing of musical recordings and query by humming, for example. Good results on the automated music transcription problem might also carry over to the related problem of automated speech recognition. An automated transcription system would also be a useful component in software that teaches one how to play an instrument by allowing the software to transcribe performances and then provide feedback. Other applications include transcription of improvised performances and automated score following. The problem of polyphonic transcription with instrument identification is a topic that has not been explored in the literature. In this thesis, we propose and implement dynamic graphical models (DGMs) for multi-instrument polyphonic transcription. The graphical models formalism provides for families of probability distributions to be modeled in a concise, modular, and intuitive manner. This thesis is concerned with making some progress on the problem of automated polyphonic multi-instrument music transcription. By multi-instrument transcription, we mean a system capable of listening to a recording in which two or more instruments are playing, and identifying the notes played by each instrument. Our transcription system models both the musical signal behavior as well as some musical structure. We use an instrument-specific timbre model for musical signals that models both the spectral behavior and the variation in the overall sound intensity with time within a note event. We also illustrate the modularity of the graphical models approach by making some modifications to our multi-instrument transcription system to create a system for guitar transcription.
Graphical Specification Language for Distributed Systems
Authors: Jorge Cortes Galicia, Felipe Rolando Menchaca Garcia
Venue: Proceedings of the 15th International Conference on Computing (2006)

Graphical Specification Language for Distributed Systems (LeGESD) is a formal language for the specification and analysis of distributed systems including their functional and communication requirements. LeGESD allows a modular, hierarchical and scalable specification of a distributed system. LeGESD supports a graphical notation defining communication and dynamic behavior aspects. The semantics of LeGESD is based on the Analysis and Design of Distributed Systems (ADSD), an algebraic specification with operational semantic based on process algebra. ADSD provides behavioral equivalence relations which can be used to verify the correctness of the specification built with LeGESD.
Railroad infrastructure simulator
Authors: Marcelo Moretti Fioroni, Luiz Augusto G. Franzese, Naguissa Yuri Hiramatsu Pereira, Marcelo Neder Machado
Venue: Proceedings of the 37th conference on Winter simulation (2005)

The railroad is one of the best options for long distance and high volume transportation. Many studies have been developed to determine the best way to use the available infrastructure (tracks, locomotives, etc.) or the best procedures to block trains or schedule its departures. This study presents an experience made with a reusable simulation tool specially designed to evaluate the impact of infrastructure changes on rail lines or load / unload terminals. Some aspects of this simulation tool are presented, and an experiment made with a real rail network is described.
The Effect of Phonological Repetition on Cortical Magnetic Responses Evoked by Visually Presented Words
Authors: Takahiro Sekiguchi, Sachiko Koyama, Ryusuke Kakigi
Venue: Journal of Cognitive Neuroscience (2004)

Neuroimaging studies have reported that the left superior temporal cortical area is activated by visually presented words. In the present study, we recorded cortical magnetic responses evoked by visual words and examined the effect of phonological repetition (e.g., hair&ndash;hare) on left superior temporal cortical activity, using pairs of homophonic Japanese words as stimuli. Unlike English, Japanese has a large number of homophone pairs with a totally different orthography. By taking advantage of this feature of the Japanese writing system, the effect of phonological repetition can be solely examined without being confounded by the effect of orthographic similarity. Magnetic responses were recorded over the bilateral temporal sites of the brain while subjects silently read words. The words were presented one by one; a quarter of them was immediately followed by a homophonic word. Clear magnetic responses in the latency range of 300&ndash;600 msec were observed in the left hemisphere, and the responses to the homophones were smaller than those to the first presented words. In the right hemisphere, clear responses were not consistently recorded in the same latency range, and no effect of phonological repetition was observed. The sources of the responses recorded over the left hemisphere were estimated to be in the left superior temporal cortical area adjacent to the auditory cortex and the source strength as well as the magnetic responses showed a reduction by phonological repetition. This result suggests that the activity in the left superior temporal cortical area is associated with access to the phonological representation of words.
Computer Security Education and Research: Handle with Care
Authors: Bradley S. Rubin, Donald Cheung
Venue: IEEE Security and Privacy (2006)

In seeking ways to actively detect attackers and their malicious code and tools, researchers, educators, and their students must tread somewhat cautiously, to ensure that their own computing activities remain legal and ethical. Although the intent behind protecting and securing systems serves the overall societal good, the methods used to achieve these ends must remain both legal and ethical. These issues also make great classroom discussion topics in any information security curriculum.
A comparison of three algorithms for blind equalization based on the constant modulus error criterion
Authors: T. Schirtzinger, X. Li, W. K. Jenkins
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

Three constant modulus algorithms (CMA), the fast quasi-Newton CMA, the transform domain CMA, and the genetic search based CMA are proposed in this paper. The performances of these three algorithms are compared with each other via computer simulation. It is shown that the fast quasi-Newton CMA and the transform domain CMA achieve much faster convergence rate than the constant modulus algorithm based on the LMS algorithm. This fact shows that the whitening technique is not only useful but also necessary for the CMA.
Initial approaches to the application of islands-based parallel EDAs in continuous domains
Authors: Luis delaOssa, José A. Gámez, José M. Puerta
Venue: Journal of Parallel and Distributed Computing (2006)

Estimation of distribution algorithms (EDAs) are a wide-ranging family of evolutionary algorithms whose common feature is the way they evolve by learning a probability distribution from the best individuals in a population and sampling it to generate the next one. Although they have been widely applied to solve combinatorial optimization problems, there are also extensions that work with continuous variables. In this paper [this paper is an extended version of delaOssa et al. Initial approaches to the application of islands-based parellel EDAs in continuous domains, in: Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), Oslo, 2005, pp. 580-587] we focus on the solution of the latter by means of island models. Besides evaluating the performance of traditional island models when applied to EDAs, our main goal consists in achieving some insight about the behavior and benefits of the migration of probability models that this framework allow.
Map updates in a dynamic Voronoi data structure
Authors: Darka Mioc, Francois Anton, Christopher M. Gold, Bernard Moulin
Venue: Proceedings of the 3rd International Symposium on Voronoi Diagrams in Science and Engineering (2006)

In this paper we are using local and sequential map updates in the Voronoi data structure, which allows us to automatically record each event and performed map updates within the system. These map updates are executed through map construction commands that are composed of atomic actions (geometric algorithms for addition, deletion, and motion of spatial objects) on the dynamic Voronoi data structure. The formalization of map commands led to the development of a spatial language comprising a set of atomic operations or constructs on spatial primitives (points and lines), powerful enough to define the complex operations. This resulted in a new formal model for map updates, similar to "cellular encoding", where each update is uniquely characterized by the numbers of newly created and inactivated Voronoi regions. This research shows that the result of the formalization of the operations on the dynamic Voronoi data structure is a spatial language or a map grammar that is deterministic and reversible.
Characterization of Computational Grid Resources Using Low-Level Benchmarks
Authors: George Tsouloupas, Marios D. Dikaiakos
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

An important factor that needs to be taken into account by end-users and systems (schedulers, resource brokers, policy brokers) when mapping applications to the Grid is the performance capacity of hardware resources attached to the Grid and made available through its Virtual Organizations. In this article, we examine the problem of characterizing the performance capacity of Grid resources using benchmarking. We examine the conditions under which such characterization experiments can be implemented in a Grid setting and present the challenges that arise in the Grid context. We specify a small number of performance metrics and propose a suite of microbenchmarks to estimate these metrics for sites that belong to large Virtual Organizations. We describe benchmarking experiments conducted with, and published through GridBench, a tool that we built to manage benchmarking experiments over the Grid and to publish and analyze performance metrics. Finally we show how results derived from GridBench can help end-users assess the performance capacity of resources belonging to a large Virtual Organization.
Mobile Language Learning with Multimedia and Multi-modal Interfaces
Authors: Sam Joseph, Maria Uther
Venue: Proceedings of the Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education (2006)

This paper focuses on the issue of how mobile devices can enhance the language learning experience, and how to evaluate such systems. To this end we consider some of the different multimedia and interface modalities in use in the mobile language learning field, focusing in particular on experiences from two case studies: the audio-based training of MAC [17,18,19] and the image based training of PhotoStudy [7]. In addition we provide an overview of the current support for audio and visual interaction as well as developments in the mobile augmented and virtual reality spheres and other possible modalities.
Using Neural Network for Solving of On-Line Economic Dispatch Problem
Authors: Amir Mohammadi, Mohammad Hadi Varahram
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

In this study, two methods for solving economic dispatch problems, namely Hopfield neural network and ë iteration method are compared. Three sample of power system with 3, 6 and 20 units have been considered. The time required for CPU, for solving economic dispatch of these two systems has been calculated. It has been shown that for on-line economic dispatch, Hopfield neural network is more efficient and the time required for convergence is considerably smaller compared to classical methods.
The influence of room structure on the perceived direction of up in immersive visual displays
Authors: H. L. Jenkin, R. T. Dyde, M. R. Jenkin, L. R. Harris
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

VR environments utilize compelling visual displays in an effort to simulate these up directions. What factors in the visual display contribute to the up direction? In earlier work we examined the effect of a wide-field virtual environment on the perceived up direction under different simulations of tilt (rotation around the naso-occipital axis)[3] and pitch (rotation about the inter-aural axis)[4]. We found that visual cues can be used to manipulate the perceptual up directions for both pitch and tilt, but that this effect was limited to relatively small deviations (&plusmn;35&deg;) from the gravity and body defined up directions. Here we manipulate the nature of the visual display and demonstrate that even simple wire-frame visual displays and random textured surfaces contribute to the direction that users perceive as being 'up'.
Downlink throughput enhancement of IEEE 802.11a/g using SDMA with a multi-antenna access point
Authors: Alexandr M. Kuzminskiy, Hamid Reza Karimi, Dennis R. Morgan, Constantinos B. Papadias, Dan Avidor, Jonathan Ling
Venue: Signal Processing (2006)

We address the problem of downlink throughput improvement for IEEE 802.11a/g systems by using a modified access point equipped with multiple antennas. The main restriction is that the standard terminals should not be modified in any way. An alternating time-offset space division multiple access (SDMA) solution is proposed for a conference room scenario. A simulation is based on channel models approved by the IEEE 802.11 Standards Group and takes into account the main features of the IEEE 802.11a/g standard. It is demonstrated that a near doubling of downlink capacity can be achieved in a conference room environment.
Automatic Database Clustering Using Data Mining
Authors: Sylvain Guinepain, Le Gruenwald
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

Because of data proliferation, efficient access methods and data storage techniques have become increasingly critical to maintain an acceptable query response time. One way to improve query response time is to reduce the number of disk I/Os by partitioning the database vertically (attribute clustering) and/or horizontally (record clustering). A clustering is optimized for a given set of queries. However in dynamic systems the queries change with time, the clustering in place becomes obsolete, and the database needs to be re-clustered dynamically. In this paper we discuss an efficient algorithm1 for attribute clustering that dynamically and automatically generate attribute clusters based on closed item sets mined from the attributes sets found in the queries running against the database.
Open graphical framework for interactive TV
Authors: P. Cesar, J. Vierinen, P. Vuorimaa
Venue: Multimedia Tools and Applications (2006)

Multimedia end-user terminals are expected to perform advanced user interface related tasks. These tasks are carried out by user interface runtime tools and include, among others, the visualization of complex graphics and the efficient handling of user input. In addition, the terminal's graphical system is expected, for example, to be able to synchronize audio and video, and control different contexts on the same screen. Finally, the availability of high-level tools to simplify the user interface implementation and the adaptiveness of the user interfaces for a diversity of configurations are, as well, desirable features. This paper presents a layered model that meets the just mentioned requirements. The architecture is divided into five different layers: hardware abstraction layer, multimedia cross platform libraries, graphical environment, GUI toolkit and high-level languages. Moreover, this paper presents the experiences of developing a prototype system based on the architecture, targeted to digital television receivers. In order to evaluate the prototype, some already developed DVB-MHP compliant digital television applications were tested. Finally, the prototype was extended with a high-level profile (i.e., SMIL support) and a low-level one (i.e., access to the framebuffer memory).