ppxscal/embedding_network huggingface dataset:
Polyphonic monotimbral music transcription using dynamic networks
Authors: Antonio Pertusa, José M. Iñesta
Venue: Pattern Recognition Letters (2005)

The automatic extraction of the notes that were played in a digital musical signal (automatic music transcription) is an open problem. A number of techniques have been applied to solve it without concluding results. The monotimbral polyphonic version of the problem is posed here: a single instrument has been played and more than one note can sound at the same time. This work tries to approach it through the identification of the pattern of a given instrument in the frequency domain. This is achieved using time-delay neural networks that are fed with the band-grouped spectrogram of a polyphonic monotimbral music recording. The use of a learning scheme based on examples like neural networks permits our system to avoid the use of an auditory model to approach this problem. A number of issues have to be faced to have a robust and powerful system, but promising results using synthesized instruments are presented.
Experiencing the flow: design issues in human-robot interaction
Authors: Patrizia Marti, Leonardo Giusti, Alessandro Pollini, Alessia Rullo
Venue: Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies (2005)

The experience of "emotional tuning" with artefacts that are not merely static (a teapot), nor merely reactive (a VCR), but that are autonomous, physical objects with decision-making abilities, pro-active, dynamic and designed with the general purpose of engaging users in social interaction, is an intriguing issue for interaction design.This paper is a reflection about the compelling yet difficult nature of interaction dynamics among humans and robots, and a special category among them: robots capable of mediating social interaction.Supporting such experiences means providing intensive embedding in the situation, motivating the users through a sense of engagement, similarly to what Csikszentmihalyi (1990) defines "optimal flow", the absolute absorption in the activity where the experience is guided by the personal feeling of the external worlds. The objective of our investigation is to analyze and try to understand if and when robotic devices can engage humans in activities likely to result in "being in the flow". We will try to analyze the different dimensions of flow in relation to different kinds of robotic devices: the seal robot Paro, used both for company and for therapeutic activities, the Intelligent Building Blocks, a robotic construction kit often used in educational activities, LEGO Mindstorms, the popular construction kit developed by LEGO.The perspective that will be presented is connected to the quality of interaction and to the personal significance that every human being creates by getting involved and involving its own life experience in the interaction with the robot.
Specifying Transformation Sequences as Computation on Program Fragments with an Abstract Attribute Grammar
Authors: Markus Schordan, Daniel Quinlan
Venue: Proceedings of the Fifth IEEE International Workshop on Source Code Analysis and Manipulation (2005)

We present a grammar based approach for specifying a transformation as a sequence of transformation operations that operate on an intermediate representation. The transformation sequence is specified in the semantic actions of an abstract attribute grammar. The mapping between the object-oriented design of the intermediate representation and the abstract grammar directly reflects the objectoriented design in the structure of the grammar. It has properties that permit utilizing grammar based tools at arbitrary abstraction levels of the language representation. The program fragments can be both source strings and fragments of the intermediate representation that can be used interchangeably in the specification.
su-chef: Adaptive coordination of intelligent home environments
Authors: Evangelos Kotsovinos, Maja Vukovic
Venue: Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services (2005)

Traditional recipes are the static products of an empirical, off-line procedure, and contain implicit environmental assumptions, as they are devised based on the exact ingredients and household devices that were available in the environment where they were created. When the parameters of the environment in which a dish is being cooked do not match those of the one in which the corresponding recipe was prepared, frustration is imminent. We present our work on dynamic service composition to facilitate adaptive coordination of smart home environments, and focus on su-chef, an application of these techniques in the cooking domain. We present initial evaluation results demonstrating that our implementation provides a practical and scalable solution.
To learn representativeness of video frames
Authors: Hong-Wen Kang, Xian-Sheng Hua
Venue: Proceedings of the 13th annual ACM international conference on Multimedia (2005)

With the rapid explosion of video data, compact representation of videos is becoming more and more desirable for efficient browsing and communication, which leads to a number of research works on video summarization in recent years. Among these works, summaries based on a set of still frames are frequently studied and applied due to its high compactness. However, the representativeness of the selected frames, which are taken as the compact representation of the video or video segment, has not been well studied. It is observed that frame representativeness is highly related to the following elements: image quality, user attention measure, visual details, and displaying duration. It is also observed that users have similar tendency in selecting the most representative frame for a certain video segment. In this paper, we developed a method to examine and evaluate the representativeness of video frames based on learning users' perceptive evaluations.
Expanding Disparity Range in an FPGA Stereo System While Keeping Resource Utilization Low
Authors: Divyang K. Masrani, W. James MacLean
Venue: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03 (2005)

Field Programmable Gate Array devices (FPGAs) are attractive for implementing computer vision algorithms due to the fact that they allow the designer to exploit the parallel nature of many vision algorithms, thus offering substantial speed improvements over fixed hardware/software systems. One major drawback, however, is that adding resources to reconfigurable devices is not as simple as adding memory or upgrading a hard disk. This becomes a problem when adapting a system to deal with larger image sizes or, in the case of stereo disparity estimation, larger disparity ranges (parameter ranges in general). This paper describes preliminary work on a design to expand the disparity range and input image size of an existing FPGA-based stereo system [8] while not significantly expanding resource requirements. Simulations on synthetic and real images are given, as well as a description of the proposed architecture changes in porting the system to a newer FPGA architecture.
A Spaces Based Coordination Model for Virtual Organizations
Authors: Jingming Xie, Deyu Qi
Venue: Proceedings of the International Symposium on Applications on Internet (2006)

Grid resources are distributed on the Internet. It is important to establish diverse virtual organizations with special sharing policies. The spaces model has the advantage in coordinating different applications on grids. We propose a spaces based model to share and use resources in virtual organizations. A virtual organization is set up as a resource tree, in which spaces act as trade platforms for resource consumers and providers. Resources are aggregated into multiple spaces that cooperate in completing a complicated task. Virtual organizations are coordinated through a virtual space grouped by some spaces. The above ideas thus offer a promising route for organizing heterogeneous distributed resources in a simple way.
A Service-oriented Model for Wireless Sensor Networks with Internet
Authors: Jinglun Shi, Weiping Liu
Venue: Proceedings of the The Fifth International Conference on Computer and Information Technology (2005)

Recent advances in microsensor technology have led to the quick development and large-scale deployment of low cost and low power sensing devices with computational and wireless sensing and communication capabilities. Current works consider wireless sensor networks are focusing on specific application. But for such applications, wireless sensor networks (WSNs) can not operate as stand-alone networks; there must be an effective way for user to gain access to the data produced by the wireless sensor networks. At the same time, it is envisioned that WSN will to be pervasive and ubiquitous. It makes a lot of sense to integrate WSNs with Internet. Some crucial issues are discussed in the article. In the paper, a service-oriented model with application agent, resource manager, register agent, and multi-gateway is designed, and its components have been illustrated. With our architecture, it can put the required data as close as possible to the users and filter data as close as the source. From the simulation results about load balancing and delay time, we can get that it performs well in flexible and reliable for different applications and can easy connect with different protocols used for WSNs.
Research Directions for Service-Oriented Multiagent Systems
Authors: Michael N. Huhns, Munindar P. Singh, Mark Burstein, Keith Decker, Ed Durfee, Tim Finin, Les Gasser, Hrishikesh Goradia, Nick Jennings, Kiran Lakkaraju, Hideyuki Nakashima, Van Parunak, Jeffrey S. Rosenschein, Alicia Ruvinsky, Gita Sukthankar, Samarth Swarup, Katia Sycara, Milind Tambe, Tom Wagner, Laura Zavala
Venue: IEEE Internet Computing (2005)

Today's service-oriented systems realize many ideas from the research conducted a decade or so ago in multiagent systems. Because these two fields are so deeply connected, further advances in multiagent systems could feed into tomorrow¿s successful service-oriented computing approaches. This article describes a 15-year roadmap for service-oriented multiagent system research.
Design of a Wireless System for Patient-Hospital Communication and Result Validation in Point of Care Testing
Authors: John McGrory, Owen Lynch, Eugene Coyle
Venue: Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications (2005)

This paper discuses mobile phone (cell phone) and wireless applications for linking patients who manage their healthcare outside the hospital using Point of Care Testing (POCT) to hospital information systems (HIS). Certain medical conditions require patients to manage their healthcare by performing on themselves POC testing and act faithfully on the result. This raises quality control issue, as these POC samples and testing procedures are not independently overseen by professional hospital staff. In hospitals, samples taken by clinicians are validated by hi-tech computerised validation systems to ensure plausibility, before physicians rely on them. Patients in the home must often use results from these POCT to determine medication dosage or to monitor their condition. Thus, there is a need to implement a system of result validation, either locally or by the hospital validation system itself, for people testing with POCT devices.
Browsing the environment with the SNAP&TELL wearable computer system
Authors: Trish Keaton, M. Dominguez, H. Sayed
Venue: Personal and Ubiquitous Computing (2005)

This paper provides an overview of a multi-modal wearable computer system, SNAP TELL. The system performs real-time gesture tracking, combined with audio-based control commands, in order to recognize objects in an environment, including outdoor landmarks. The system uses a single camera to capture images, which are then processed to perform color segmentation, fingertip shape analysis, robust tracking, and invariant object recognition, in order to quickly identify the objects encircled and SNAPped by the users pointing gesture. In addition, the system returns an audio narration, TELLing the user information concerning the objects classification, historical facts, usage, etc. This system provides enabling technology for the design of intelligent assistants to support Web-On-The-World applications, with potential uses such as travel assistance, business advertisement, the design of smart living and working spaces, and pervasive wireless services and internet vehicles.
An Interactive Approach for Specifying OWL-S Groundings
Authors: Gerald C. Gannod, Raynette J. Brodie, John T. E. Timm
Venue: Proceedings of the Ninth IEEE International EDOC Enterprise Computing Conference (2005)

OWL-S is an instance of the Web Ontology Language (OWL) that is used to describe and specify semantic web services. While OWL-S provides a promising mechanism for specification, publication, discovery, integration, and access, the learning curve can be high. Current practices in Web services tend to focus on lightweight specification using automated tools that generate WSDL descriptions. One of the advantages of OWL-S is its flexibility in allowing the creation of many groundings or bindings for a single semantic web service. In this paper, we propose an approach for generating groundings for a semantic web service and demonstrate how the use of lightweight interactive tools facilitates creation of groundings for a semantic web service.
Robotic assistants in therapy and education of children with autism: can a small humanoid robot help encourage social interaction skills?
Authors: B. Robins, K. Dautenhahn, Te Boekhorst, A. Billard
Venue: Universal Access in the Information Society (2005)

This article presents a longitudinal study with four children with autism, who were exposed to a humanoid robot over a period of several months. The longitudinal approach allowed the children time to explore the space of robot&#x2013;human, as well as human&#x2013;human interaction. Based on the video material documenting the interactions, a quantitative and qualitative analysis was conducted. The quantitative analysis showed an increase in duration of pre-defined behaviours towards the later trials. A qualitative analysis of the video data, observing the children&#x2019;s activities in their interactional context, revealed further aspects of social interaction skills (imitation, turn-taking and role-switch) and communicative competence that the children showed. The results clearly demonstrate the need for, and benefits of, long-term studies in order to reveal the full potential of robots in the therapy and education of children with autism.
Consistent Main-Memory Database Federations under Deferred Disk Writes
Authors: Rodrigo Schmidt, Fernando Pedone
Venue: Proceedings of the 24th IEEE Symposium on Reliable Distributed Systems (2005)

Current cluster architectures provide the ideal environment to run federations of main-memory database systems (FMMDBs). In FMMDBs, data resides in the main memory of the federation servers, significantly improving performance by avoiding I/O during the execution of read operations. To maximize the performance of update transactions as well, some applications recur to deferred disk writes. This means that update transactions commit before their modifications are written on stable storage and durability must be ensured outside the database. While deferred disk writes in centralized MMDBs relax the durability property of transactions only, in FMMDBs transaction atomicity may be also violated in case of failures. We address this issue from the perspective of log-based rollback-recovery in distributed systems and provide an efficient solution to the problem.
Preference learning with Gaussian processes
Authors: Wei Chu, Zoubin Ghahramani
Venue: Proceedings of the 22nd international conference on Machine learning (2005)

In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relations in the Bayesian framework. The generalized formulation is also applicable to tackle many multiclass problems. The overall approach has the advantages of Bayesian methods for model selection and probabilistic prediction. Experimental results compared against the constraint classification approach on several benchmark datasets verify the usefulness of this algorithm.
Improving generalization in the XCSF classifier system using linear least-squares
Authors: Daniele Loiacono, Pier Luca Lanzi
Venue: Proceedings of the 2005 workshops on Genetic and evolutionary computation (2005)

XCSF is an extension of XCS in which classifier prediction is computed as a linear combination of classifier inputs and a weight vector associated to each classifier. XCSF can adjust the weight vector of classifiers to evolve accurate piecewise linear approximations of functions. The Widrow-Hoff rule, used to update the weight vectors, prevents (when some conditions hold) XCSF from exploiting the expected piece-wise linear approximation. In this paper we replace the Widrow-Hoff rule with linear least-squares and we show that with this improvement XCSF can fully exploit its generalization capabilities.
WS-CABroker: A Novel Web Services-based Multimedia Content Alliance Broker Scheme
Authors: Jie Wu, ZhiHui Lv, YiPing Zhong, ShiYong Zhang
Venue: Proceedings of the The Fifth International Conference on Computer and Information Technology (2005)

On analysis of the drawbacks of the current content delivery system, such as heterogeneous, isolated content service systems and difficult integration, a novel Web Services-based content alliance broker scheme - WS-CABroker, is introduced in this paper. Firstly, we propose the architecture of WS-CABroker for integrating heterogeneous content service systems based on Web Services standard. Then we describe the main function components included in the alliance platform. Furthermore, the paper studies and discusses the implementation mechanism of content integration and registration service module and media server status monitoring module, including flow chart and exchanged XML format. From our research experiences and related survey, we analyze the prospective research direction and challenges in this field, including WS-Resource Framework.
Capacity-Aware Multicast Algorithms on Heterogeneous Overlay Networks
Authors: Zhan Zhang Shigang Chen Yibei Ling, Randy Chow
Venue: IEEE Transactions on Parallel and Distributed Systems (2006)

The global deployment of IP multicast has been slow due to the difficulties related to heterogeneity, scalability, manageability, and lack of a robust interdomain multicast routing protocol. Application-level multicast becomes a promising alternative. Many overlay multicast systems have been proposed in recent years. However, they are insufficient in supporting applications that require any-source multicast with varied host capacities and dynamic membership. In this paper, we propose two capacity-aware multicast systems that focus on host heterogeneity, any source multicast, dynamic membership, and scalability. We extend Chord and Koorde to be capacity-aware. We then embed implicit degree-varying multicast trees on top of the overlay network and develop multicast routines that automatically follow the trees to disseminate multicast messages. The implicit trees are well balanced with the workload evenly spread across the network. We rigorously analyze the expected performance of multisource capacity-aware multicasting, which was not thoroughly addressed in any previous work. We also perform extensive simulations to evaluate the proposed multicast systems.
Master-element vector irradiance for large tessellated models
Authors: Grégory Lecot, Bruno Lévy, Laurent Alonso, Jean-Claude Paul
Venue: Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia (2005)

We propose a new global light simulation method for diffuse (or moderately glossy) scenes comprising highly tesselated models with simple topology (e.g., scanned meshes). By using the topological coherence of the surface, we show how to extend a classic Finite Element method called the Master Element: We generalize this method to efficiently handle tessellated models by using mesh parameterization and mesh extrapolation techniques. In addition, we propose a high-order and hierarchical extension of the Master Element method. Our method computes a compact representation of vector irradiance, represented by high-order wavelet bases. For totally diffuse scenes, the so-computed vector irradiance maps can be transformed into light maps. For moderatly glossy scenes, approximated view-dependent lighting can be computed and displayed in real-time by the GPU from the vector irradiance maps. Using our methods, view-dependent solutions for scenes with over one million polygons are computed in minutes and displayed in real time. As with clustering methods, the time complexity of the method is independent on the number of polygons. By efficiently capturing the lighting signal at a suitable scale, the method is made independent of the geometric discretization and solely depends on the lighting complexity. We demonstrate our method in various settings, with both sharp and soft shadows accurately represented by our hierarchical function basis.
Estimation of Shape Parameter of GGD Function by Negentropy Matching
Authors: Rajkishore Prasad, Hiroshi Saruwatari, Kiyohiro Shikano
Venue: Neural Processing Letters (2005)

In this paper we present a novel method for the estimation of the shape parameter of the Generalized Gaussian Distribution (GGD) function for the leptokurtic and Gaussian signals by matching negentropy of GGD function and that of data approximated by some non-polynomial functions. The negentropy of GGD function is monotonic function of its shape parameter for values corresponding to super-Gaussian and Gaussian distribution family. The simulation results have been compared with those obtained by existing methods such as Mallat's method and Kurtosis matching method. It has been found that the proposed method is effective and useful in the cases where we have a few observation samples and distribution is highly spiky.
A Three-Dimensional Model for Evaluating Software Development Projects
Authors: K. V. K. K. Prasad
Venue: Ubiquity (2005)

In this model created by Dr. K.V.K.K. Prasad, software development is viewed in two dimensions (despite the title), based on the answer to the questions: 1) Is it inspired by considerations of utility and value? 2) Does it advance software technology?