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Articles 31 - 38 of 38
Full-Text Articles in OS and Networks
Under The Plastic: A Quantitative Look At Dvd Video Encoding And Its Impact On Video Modeling, Wu-Chi Feng, Jin Choi, Wu-Chang Feng, Jonathan Walpole
Under The Plastic: A Quantitative Look At Dvd Video Encoding And Its Impact On Video Modeling, Wu-Chi Feng, Jin Choi, Wu-Chang Feng, Jonathan Walpole
Computer Science Faculty Publications and Presentations
In this paper, we examine the DVD encoding process and the implications this process has video modeling and network traffic analysis. We have assembled a system that allows us to extract the video data from the DVDs as they were encoded for distribution. Analyzing the resulting video trace data, we describe how DVD encodings have evolved over time. In addition, our findings show that the underlying video content is fundamentally different than those produced by basic consumer video capture boards. We demonstrate how this affects current video modeling proposals and their affect on network traffic characterization. This research is based …
Semantic Web Processes, Jorge Cardoso, Amit P. Sheth
Semantic Web Processes, Jorge Cardoso, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Sip Message Compression Technique For Efficient Multimedia Services In 3g Wireless Communications, Valerie Kenneally
Sip Message Compression Technique For Efficient Multimedia Services In 3g Wireless Communications, Valerie Kenneally
Theses
The direction of the global cellular industry is primarily determined by two standardisation bodies, the 3rd Generation Partnership Project (3GPP) (in Europe and Asia) and 3GPP2 (in North America). Both of these standardisation bodies are currently specifying a core network to deliver IP based multimedia services over 3G wireless networks. One of the fundamental building blocks of this IP based multimedia core network is the use of SIP (Session Initiation Protocol) as the control protocol. The radio resource, that is the available frequency spectrum, in wireless communication systems remains a limiting factor in terms of the bandwidth available to an …
Heterogenous Network Management, Kenneth Carey
Heterogenous Network Management, Kenneth Carey
Theses
Enterprise level system development, integrating a broad range of arctures and legacy systems, has received significant attention over the last few yentegrated chain management, which allows companies to see their full manufactu inventory and sales channels, has driven much of this work. Delivering quality IP 1 wireless access is forcing similar integration in 2.5G and 3G telecom archires. Such integration has resulted in the emergence of multi-protocol heterogeneietworks, combining IP core backbones, legacy databases and switchinghnology. Heterogeneous networks, due to their diversity of equipment and suppoDrotocols, introduce challenges for today's network administrators, particularly ii areas of device configuration and alarm …
The Staging Transformation Approach To Mixing Initiative, Robert Capra, Michael Narayan, Saverio Perugini, Naren Ramakrishnan, Manuel A. Pérez-Quiñones
The Staging Transformation Approach To Mixing Initiative, Robert Capra, Michael Narayan, Saverio Perugini, Naren Ramakrishnan, Manuel A. Pérez-Quiñones
Computer Science Faculty Publications
Mixed-initiative interaction is an important facet of many conversational interfaces, flexible planning architectures, intelligent tutoring systems, and interactive information retrieval systems. Software systems for mixed-initiative interaction must enable us to both operationalize the mixing of initiative (i.e., support the creation of practical dialogs) and to reason in real-time about how a flexible mode of interaction can be supported (e.g., from a meta-dialog standpoint). In this paper, we present the staging transformation approach to mixing initiative, where a dialog script captures the structure of the dialog and dialog control processes are realized through generous use of program transformation techniques (e.g., partial …
Formal Concept Analysis And Resolution On Algebraic Domains - Preliminary Report, Matthias Wendt, Pascal Hitzler
Formal Concept Analysis And Resolution On Algebraic Domains - Preliminary Report, Matthias Wendt, Pascal Hitzler
Computer Science and Engineering Faculty Publications
We relate two formerly independent areas: Formal concept analysis and logic of domains. We will establish a correspondence between contextual attribute logic on formal contexts resp. concept lattices and a clausal logic on coherent algebraic cpos. We show how to identify the notion of formal concept in the domain theoretic setting. In particular, we show that a special instance of the resolution rule from the domain logic coincides with the concept closure operator from formal concept analysis. The results shed light on the use of contexts and domains for knowledge representation and reasoning purposes.
Learning Continuous Latent Variable Models With Bregman Divergences, Shaojun Wang, Dale Schuurmans
Learning Continuous Latent Variable Models With Bregman Divergences, Shaojun Wang, Dale Schuurmans
Kno.e.sis Publications
We present a class of unsupervised statistical learning algorithms that are formulated in terms of minimizing Bregman divergences— a family of generalized entropy measures defined by convex functions. We obtain novel training algorithms that extract hidden latent structure by minimizing a Bregman divergence on training data, subject to a set of non-linear constraints which consider hidden variables. An alternating minimization procedure with nested iterative scaling is proposed to find feasible solutions for the resulting constrained optimization problem. The convergence of this algorithm along with its information geometric properties are characterized.
On Quantitative Evaluation Of Clustering Systems, Ji He, Ah-Hwee Tan, Chew-Lim Tan, Sam-Yuan Sung
On Quantitative Evaluation Of Clustering Systems, Ji He, Ah-Hwee Tan, Chew-Lim Tan, Sam-Yuan Sung
Research Collection School Of Computing and Information Systems
Clustering refers to the task of partitioning unlabelled data into meaningful groups (clusters). It is a useful approach in data mining processes for identifying hidden patterns and revealing underlying knowledge from large data collections. The application areas of clustering, to name a few, include image segmentation, information retrieval, document classification, associate rule mining, web usage tracking, and transaction analysis.