ppxscal/embedding_network huggingface dataset:
Vision-based rendering: using computational stereo to actualize ibr view synthesis
Authors: Parris Egbert
Venue:  (2006)

Computer graphics imagery (CGI) has enabled many useful applications in training, defense, and entertainment. One such application, CGI simulation, is a real-time system that allows users to navigate through and interact with a virtual rendition of an existing environment. Creating such systems is difficult, but particularly burdensome is the task of designing and constructing the internal representation of the simulation content. Authoring this content on a computer usually requires great expertise and many man-hours of labor. Computational stereo and image-based rendering offer possibilities to automatically create simulation content without user assistance. However, these technologies have largely been limited to creating content from only a few photographs, severely limiting the simulation experience. The purpose of this dissertation is to enable the process of automated content creation for large numbers of photographs. The workflow goal consists of a user photographing any real-world environment intended for simulation, and then loading the photographs into the computer. The theoretical and algorithmic contributions of the dissertation are then used to transform the photographs into the data required for real-time exploration of the photographed locale. This permits a rich simulation experience without the laborious effort required to author the content manually. To approach this goal we make four contributions to the fields of computer vision and image-based rendering: an improved point correspondence methodology, an adjacency graph construction algorithm for unordered photographs, a pose estimation ordering for unordered image sets, and an image-based rendering algorithm that, interpolates omnidirectional images to synthesize novel views. We encapsulate our contributions into a working system that we call Vision-Based Rendering (VBR). With our VBR system we are able to automatically create simulation content from a large unordered collection of input photographs. However, there are severe restrictions in the type of image content our present system can accurately simulate. Photographs containing large regions of high frequency detail are incorporated very accurately, but images with smooth color gradations, including most indoor photographs, create distracting artifacts in the final simulation. Thus our system is a significant and functional step toward the ultimate goal of simulating any real-world environment.
Workflow Planning on a Grid
Authors: Craig Thompson, Wing Ning Li, Zhichun Xiao
Venue: IEEE Internet Computing (2007)

The authors detail how they address both problems with workflow and how to automate them with their prototype workflow planning system they're developing at the University of Arkansas.
Some new results on the discrete bispectrum
Authors: M. Colas
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

This paper presents some new results concerning the bispectrum of sampled signals. We show that sampling a stationary signal at Fs=2B usually implies a non-zero outer triangle (OT) domain in the bispectrum due to overlapping. Moreover, we pointed out that processes (stationary or not) sampled at Fs>3B are always zero in the OT (no overlapping). Finally, we propose an empirical method for which a non-zero OT indicates that the signal is really non-stationary and we propose to combine this approach with the Hinich stationarity test (Hinich 1990, and Hinich and Messer 1995).
Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems
Authors: Ramaswamy Hariharan, Bijit Hore, Chen Li, Sharad Mehrotra
Venue: Proceedings of the 19th International Conference on Scientific and Statistical Database Management (2007)

Location-based information contained in publicly available GIS databases is invaluable for many applications such as disaster response, national infrastructure protection, crime analysis, and numerous others. The information entities of such databases have both spatial and textual descriptions. Likewise, queries issued to the databases also contain spatial and textual components, for example, "Find shelters with emergency medical facilities in Orange County," or "Find earthquake-prone zones in Southern California." We refer to such queries as spatial-keyword queries or SK queries for short. In recent times, a lot of interest has been generated in efficient processing of SK queries for a variety of applications from Web-search to GIS decision support systems. We refer to systems built for enabling such applications as Geographic Information Retrieval (GIR) Systems. An example GIR system that we address in this paper is a search engine built on top of hundreds of thousands of publicly available GIS databases. Building a search engine over such large repositories is a challenge. One of the key aspects of such a search engine is the performance. In this paper, we propose a framework for GIR systems and focus on indexing strategies that can process SK queries efficiently. We show through experiments that our indexing strategies lead to significant improvement in efficiency of answering SK queries over existing techniques.
Wireless technologies and the mobile workforce
Authors: H. Adams
Venue: Proceedings of the 26th Annual Frontiers in Education - Volume 01 (1996)

Summary form only given. This presentation discusses wireless technologies that can be used in developing mobile work force solutions for both WAN and LAN environments. Recent wireless LAN product announcements from IBM's Networking Systems are also covered and positioned with these technologies, highlighting IBM's strengths. First, market segmentation and opportunities are reviewed along with customer benefits and value. Next, three wireless WAN technologies (circuit switched cellular, cellular digital packet data, and radio data networks) are discussed with their advantages and disadvantages. This is followed by wireless LAN technologies discussion, which includes important customer considerations and IBM strengths. Finally, the topic closes with a review of Networking System's wireless products and positioning relative to other IBM wireless products. 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
Tracking 3D Human Motion in Compact Base Space
Authors: Xu Zhao, Yuncai Liu
Venue: Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision (2007)

In this study, we present an efficient approach to recover 3D human motion from monocular image sequences in generative reconstruction framework. This approach is based on the extracting of motion base space. From the motion capture data with bothersome high dimension characteristic of human activity, we extract the motion base space in which human pose can be described essentially and concisely by a more controllable way. And then, the structure of this space corresponding to some special activities such as walking motion is explored with data clustering. For the single image, Gaussian mixture model is used to generate the candidates of 3D pose. The shape context is the common descriptor of image silhouette feature and synthetical feature of human model. We get the shortlist of 3D poses by measuring the shape contexts matching cost between image feature and the synthetical features. In tracking situation, an AR model trained by the example sequences produces almost accurate pose predictions. Experiments demonstrate that the proposed approach works well.
Flexible Behaviours for Emergent Process Interoperability
Authors: Martin Carpenter, Nikolay Mehandjiev, Iain Duncan Stalker
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

The dynamic, volatile nature of many contemporary markets means that business opportunities are frequently fleeting. For many, successful leverage of these increasingly depends upon an ability to draw upon networks of partners having complementary skills and expertise; and thus establish ad hoc virtual organisations (VOs). Traditional VO formation derives from a top-down decomposition of the top-level goal, followed by a recruitment of members to implement individual process steps. This approach equates a company with a set of single fixed processes. We argue that this both limits the possibility of finding innovative solutions by restricting the behaviour of the companies; and makes the consideration of political matters problematic. The approach proposed here aims to address these challenges through innovative use of agent technology, allowing process interoperability to emerge as a result of shared interests and complementary expertise of individual agents. Allowing a decomposition of the business opportunity into subprocesses to emerge from the interactions of the agents providing such processes means that agents can decide when and if to participate. This also foster more creative solutions, for instance, an agent may customise its processes for an especially attractive business opportunity. Finally, the approach allows agents to take direct account of political aspects, such as with whom they will work, before offering to contribute towards a virtual organisation.
Re-conceptualizing the digital divide: a knowledge-based approach
Authors: William Tibben
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Determining a robust conceptualization of the digital divide has proved to be a difficult challenge for scholars. This paper argues that a knowledge-based approach provides an effective means to understand and develop responses to various forms of disadvantage related to access and use of Information and Communication Technologies (ICTs). In developing this idea one area of social network analysis is used to make the claim that social networks are used by people to configure an ontology to negotiate the uncertainty of their day-to-day existence. It follows then that digital divide factors can be understood in terms of ICT facilitated knowledge development and related processes. The paper investigates this idea by using Nonaka and Takeuchi's knowledge management framework to analyze five case study examples.
Using runtime paths for macroanalysis
Authors: Mike Chen, Emre Kiciman, Anthony Accardi, Armando Fox, Eric Brewer
Venue: Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9 (2003)

We introduce macroanalysis, an approach used to infer the high-level properties of dynamic, distributed systems, and an indispensable tool when faced with tasks where local context and individual component details are insufficient. We present a new methodology, runtime path analysis, where paths are traced through software components and then aggregated to understand global system behavior via statistical inference. Our approach treats components as gray boxes and complements existing microanalysis tools, such as code-level debuggers. We use runtime paths to deduce application state, detect failures, and diagnose problems, all in an application-generic fashion. We have explored path-based macroanalysis both in a research setting and as part of a commercial infrastructure at Tellme Networks.
Coordinated and Multiple Views in Augmented Reality Environment
Authors: Ricardo Melo Casseb do Carmo, Bianchi Serique Meiguins, Aruanda Simoes Goncalves Meiguins, Sergio Clayton Viana Pinheiro, Leonardo Hernandez Almeida, Paulo Igor A. Godinho
Venue: Proceedings of the 11th International Conference Information Visualization (2007)

The paper presents a prototype that implements multiple coordinated views to information visualization in augmented reality environments. Augmented reality provides more intuitive and easy interaction. It also reduces the limitations of visualization and enhances the collaborative aspect. A modified version of ARToolKit has been used to create the augmented environment, and the 3D scatter plot technique has been developed to represent the multiple views of data. The coordination between views supported dynamic queries, data selection, and the configuration of views and of the detail on demand feature. This paper also reproduces literature usability tests based on tasks in order to analyze the viability to implement multiple coordinated views in augmented environments for information visualization.
Pass logic circuits with reduced switching activity for low power DSP processors
Authors: D. Radhakrishnan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

There is a tremendous need for miniaturization as well as low power consumption in many signal-processing systems, especially when they are used in portable equipment. In this context, the design of low power DSP processors receives utmost importance. A clever means of achieving this is by use of pass logic circuits in these designs. But switching activity is found to be a major contributor in dynamic power consumption. Hence, a formal technique for calculating the switching activity in CMOS pass networks is presented in this paper, which is validated using various designs of CMOS full adder cells. This technique can therefore be used for the design of CMOS pass networks, with reduced switching activity, suitable for use in DSP hardware for the design of smaller and energy-efficient DSP processors. 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
The Evolution of a Mobile Services Provider in a Global Context: Upoc as a Case in Point
Authors: Nina D. Ziv, Bala Mulloth
Venue: Proceedings of the International Conference on the Management of Mobile Business (2007)

This paper focuses on a new generation of companies which use the mobile platform for providing a wide variety of services. Such companies represent a further development in redefining the optimal paradigm for innovation on the mobile platform in that they have partly succeeded in shifting the balance of power away from the carriers and toward the users. Moreover, they have adopted a more global stance. Field research was conducted on Upoc, a New York City based mobile services company which is a subsidiary of Dada, an Italian-based provider of web and mobile entertainment services. Upoc hosts social networking groups for New York City based users, as well as provides ISP services on the mobile platform. Initial findings indicate that Upoc represents the leading edge of a new kind of hybrid mobile content company which provides a platform for locally generated user content as well as global service provisioning. This paper focuses on the changing roles of a locally-based mobile services provider, its business model and the challenges faced by the company in a global context.
Point or Click? Evaluation of Two Input Modalities for Mobile Entertainment
Authors: Johan Boden, Kalle Jegers, Mattias Lidstrom, Charlotte Wiberg, Mikael Wiberg
Venue: Proceedings of the Second International Conference on Internet and Web Applications and Services (2007)

Previous research in computer games have focused on user experience from the perspectives of game content, graphics, interactivity and underling game story while missing to address the effect of a certain input modality on the user experience. In this paper we report from two user studies that focus on players' experience and performance in relation to the use of two different input modalities for the same game and whether it changes the flow and gameplay in any way. The overall research was according to this whether a game can be more fun to play with a certain input modality? The paper presents the results from these studies and draws conclusions based on these data in relation to computer games and user experiences in the context of mobile game playing.
Fast reinforcement learning of dialog strategies
Authors: D. Goddeau
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02 (2000)

Dialog management is a critical component of an effective spoken language application. It is also one of the most difficult and time consuming to engineer. This paper examines the application of reinforcement learning and Markov decision processes (MDPs) to the problem of learning the dialog strategies. It extends work done at AT&T in two directions. First it examines the ability of RL to learn optimal strategies in the presence of speech recognition errors. Second, it describes a technique for reducing the amount of data required to train these models. This is significant as the difficulty of training MDP-based dialog managers is a serious roadblock to deploying them in realistic applications.
Wordrank: A Method for Ranking Web Pages Based on Content Similarity
Authors: Apostolos Kritikopoulos, Martha Sideri, Iraklis Varlamis
Venue: Proceedings of the 24th British National Conference on Databases (2007)

This paper presents WordRank, a new page ranking system, which exploits similarity between interconnected pages. WordRank introduces the model of the "biased surfer' which is based on the following assumption: "the visitor of a web page tends to visit web pages with similar content rather than content irrelevant pages". The algorithm modifies the random surfer model by biasing the probability of a user to follow a link in favor of links to pages with similar content. It is our intuition that WordRank is most appropriate in topic based searches, since it prioritizes strongly interconnected pages, and in the same time is more robust to the multitude of topics and to the noise produced by navigation links. This paper presents preliminary experimental evidence from a search engine we developed for the Greek fragment of the worldwide Web. For evaluation purposes, we introduce a new metric (SI score) which is based on implicit user's feedback, but we also employ explicit evaluation, where available.
Pattern Templates for Automating Business Choreography on Web Services
Authors: Incheon Paik, Hiroto Suzuki
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

Integrating and automating workflow processes have been investigated to decrease resources and increase the efficiency of e-business processes. Researchers have analyzed patterns for workflow, but little has been done to make the patterns into a systematically deployable application. In this research, we proposed templates to support established workflow patterns, and developed a framework to accommodate these templates. The proposed system analyzes pattern type from a work flow diagram, collects the necessary information for the process, and makes a connection to appropriate application system. We developed a simple prototype to show the effectiveness of our system for automated business choreography.
Learning Saccadic Gaze Control via Motion Prediciton
Authors: Per-Erik Forssen
Venue: Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (2007)

This paper describes a system that autonomously learns to perform saccadic gaze control on a stereo pan-tilt unit. Instead of learning a direct map from image positions to a centering action, the system first learns a forward model that predicts how image features move in the visual field as the gaze is shifted. Gaze control can then be performed by searching for the action that best centers a feature in both the left and the right image. By attacking the problem in a different way we are able to collect many training examples in each action, and thus learning converges much faster. The learning is performed using image features obtained from the Scale Invariant Feature Transform (SIFT) [14] de- tected and matched before and after a saccade, and thus requires no special environment during the training stage. We demonstrate that our system stabilises already after 300 saccades, which is more than 100 times fewer than the best current approaches.
The Blitz of Infinity
Authors: Gary Singh
Venue: IEEE Computer Graphics and Applications (2007)

This issue's cover features art by Michael Eichhorn. In this article, Eichhorn describes his work and his process.
Efficient decision feedback equalizer for sparse multipath channels
Authors: K. Berberidis
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05 (2000)

This paper addresses the problem of blind channel equalization in the context of digital communications. Recent results have shown that certain operations applied to the source signal at the transmitter help in the blind identification and equalization of the channel at the receiver. For example, cyclostationarity is induced by multiplying the baseband data signal with a periodic sequence. Here, the baseband data signal is multiplied with a chirp sequence. Exploiting certain structural properties arising from this operation, a simple and fast converging algorithm is obtained for estimating the equalizer coefficients. The algorithm is deterministic, i.e. it provides optimal equalizer settings using finite data in the noiseless case.
A maximally diversified multiple decision tree algorithm for microarray data classification
Authors: Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard, Mingren Shi
Venue: Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73 (2006)

We investigate the idea of using diversified multiple trees for Microarray data classification. We propose an algorithm of Maximally Diversified Multiple Trees (MDMT), which makes use of a set of unique trees in the decision committee. We compare MDMT with some well-known ensemble methods, namely AdaBoost, Bagging, and Random Forests. We also compare MDMT with a diversified decision tree algorithm, Cascading and Sharing trees (CS4), which forms the decision committee by using a set of trees with distinct roots. Based on seven Microarray data sets, both MDMT and CS4 are more accurate on average than AdaBoost, Bagging, and Random Forests. Based on a sign test of 95% confidence, both MDMT and CS4 perform better than majority traditional ensemble methods tested. We discuss differences between MDMT and CS4.
Taint-enhanced policy enforcement: a practical approach to defeat a wide range of attacks
Authors: Wei Xu, Sandeep Bhatkar, R. Sekar
Venue: Proceedings of the 15th conference on USENIX Security Symposium - Volume 15 (2006)

Policy-based confinement, employed in SELinux and specification-based intrusion detection systems, is a popular approach for defending against exploitation of vulnerabilities in benign software. Conventional access control policies employed in these approaches are effective in detecting privilege escalation attacks. However, they are unable to detect attacks that "hijack" legitimate access privileges granted to a program, e.g., an attack that subverts an FTP server to download the password file. (Note that an FTP server would normally need to access the password file for performing user authentication.) Some of the common attack types reported today, such as SQL injection and cross-site scripting, involve such subversion of legitimate access privileges. In this paper, we present a new approach to strengthen policy enforcement by augmenting security policies with information about the trustworthiness of data used in securitysensitive operations. We evaluated this technique using 9 available exploits involving several popular software packages containing the above types of vulnerabilities. Our technique sucessfully defeated these exploits.