... changed and even when some aspects of the external representation are changed. Changes in data representation will often be needed as a result ...
Tópico(s): Distributed systems and fault tolerance
1970 - Association for Computing Machinery | Communications of the ACM
... changed and even when some aspects of the external representation are changed. Changes in data representation will often be needed as a result ...
Tópico(s): Distributed systems and fault tolerance
1983 - Association for Computing Machinery | Communications of the ACM
The Protein Data Bank (PDB) is a widely used biological database of macromolecular structures with a long history. This history is treated as lessons learned and is used to highlight what are believed to be the best practices important to developers of biological databases today. While the focus is on data quality, data representation and the information technology to support these data, the non-data and technology issues cannot be ignored. The role of the human factor in the form of users, collaborators, ...
Tópico(s): Enzyme Structure and Function
2004 - Oxford University Press | Briefings in Bioinformatics
The objective of this paper is a) to provide a conceptualanalysis of the term big data and b) to introduce linked dataapplications such as SKOS-based knowledge organizationsystems as new tools for the analysis, organization, representation, visualization and access to big data.
Tópico(s):
2014 - | Advances in Classification Research Online
A real-time data base for power system monitoring and control must provide an accurate and reliable representation of the system state, based on the available measurements, indications and network parameters. The well-established method for achieving this goal is static state estimation, which calculates a best fit of the measurements onto the network model. A new approach is proposed in this paper, wherein state calculation and data validation are performed by a sequential search through the network ...
Tópico(s): Optimal Power Flow Distribution
1983 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Power Apparatus and Systems
Daniel L. Weller, Bryant W. York,
Programming languages have traditionally had more data types than database systems. The flexibility of abstract types could make a database system more useful in supporting application development. Abstract types allow users to think about and manipulate data in terms and structures that they are familiar with. This paper proposes that databases have a type system interface and describes a representation of a type system in terms of relations. The type system model supports a variety of programming ...
Tópico(s):
1984 - IEEE Computer Society | IEEE Transactions on Software Engineering
Anthony M. Filippi, Richard Archibald,
Introduced in this paper is the utilization of support vector machines (SVMs) to semiautomatically perform endmember extraction from hyperspectral data. The strengths of SVM are exploited to provide a fast and accurate calculated representation of high-dimensional data sets that may consist of multiple distributions. Once this representation is computed, the number of distributions can be determined without prior knowledge. For each distribution, an optimal transform can be determined that preserves informational ...
Tópico(s): Spectroscopy and Chemometric Analyses
2008 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Geoscience and Remote Sensing
Sebastian Bremm, Tatiana von Landesberger, Jürgen Bernard, Tobias Schreck,
Abstract Exploration and selection of data descriptors representing objects using a set of features are important components in many data analysis tasks. Usually, for a given dataset, an optimal data description does not exist, as the suitable data representation is strongly use case dependent. Many solutions for selecting a suitable data description have been proposed. In most instances, they require data labels and often are black box approaches. Non‐expert users have difficulties to comprehend ...
Tópico(s): Image Retrieval and Classification Techniques
2011 - Wiley | Computer Graphics Forum
Lena Strömbäck, Vaida Jakoniené, Hao Tan, Patrick Lambrix,
One important aim within systems biology is to integrate disparate pieces of information, leading to discovery of higher-level knowledge about important functionality within living organisms. This makes standards for representation of data and technology for exchange and integration of data important key points for development within the area. In this article, we focus on the recent developments within the field. We compare the recent updates to the three standard representations for exchange of ...
Tópico(s): Gene Regulatory Network Analysis
2006 - Oxford University Press | Briefings in Bioinformatics
Pek Yee Lum, Satwinder Singh, Amy Lehman, T. Ishkanov, Mikael Vejdemo‐Johansson, Muthuraman Alagappan, John Gunnar Carlsson, Gunnar Carlsson,
This paper applies topological methods to study complex high dimensional data sets by extracting shapes (patterns) and obtaining insights about them. Our method combines the best features of existing standard methodologies such as principal component and cluster analyses to provide a geometric representation of complex data sets. Through this hybrid method, we often find subgroups in data sets that traditional methodologies fail to find. Our method also permits the analysis of individual data sets ...
Tópico(s): Cell Image Analysis Techniques
2013 - Nature Portfolio | Scientific Reports
Evgeniy Yur’evich Gorodov, V.V. Gubarev,
This paper describes the term Big Data in aspects of data representation and visualization. There are some specific problems in Big Data visualization, so there are definitions for these problems and a set of approaches to avoid them. Also, we make a review of existing methods for data visualization in application to Big Data and taking into account the described problems. Summarizing the result, we have provided a classification of visualization methods in application to Big Data.
Tópico(s): Big
2013 - Hindawi Publishing Corporation | Journal of Electrical and Computer Engineering
Gülcan Can, Jean‐Marc Odobez, Daniel Gática-Pérez,
Shape representations are critical for visual analysis of cultural heritage materials. This article studies two types of shape representations in a bag-of-words-based pipeline to recognize Maya glyphs. The first is a knowledge-driven Histogram of Orientation Shape Context (HOOSC) representation, and the second is a data-driven representation obtained by applying an unsupervised Sparse Autoencoder (SA). In addition to the glyph data, the generalization ability of the descriptors is investigated on ...
Tópico(s): Human Pose and Action Recognition
2016 - Association for Computing Machinery | Journal on Computing and Cultural Heritage
Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao,
Graph based multi-view clustering has been paid great attention by exploring the neighborhood relationship among data points from multiple views. Though achieving great success in various applications, we observe that most of previous methods learn a consensus graph by building certain data representation models, which at least bears the following drawbacks. First, their clustering performance highly depends on the data representation capability of the model. Second, solving these resultant optimization ...
Tópico(s): Advanced Graph Neural Networks
2020 - Association for the Advancement of Artificial Intelligence | Proceedings of the AAAI Conference on Artificial Intelligence
Chenghua Shao, Zukang Feng, John D. Westbrook, Ezra Peisach, John M. Berrisford, Yasuyo Ikegawa, Genji Kurisu, Sameer Velankar, S.K. Burley, Jasmine Young,
Since 1971, the Protein Data Bank (PDB) has served as the single global archive for experimentally determined 3D structures of biological macromolecules made freely available to the global community according to the FAIR principles of Findability-Accessibility-Interoperability-Reusability. During the first 50 years of continuous PDB operations, standards for data representation have evolved to better represent rich and complex biological phenomena. Carbohydrate molecules present in more than 14,000 ...
Tópico(s): Genomics and Phylogenetic Studies
2021 - Oxford University Press | Glycobiology
T. Watanabe, K. Sugawara, Hiroki Sugihara,
We propose the PRDC (Pattern Representation based on Data Compression) scheme for media data analysis. PRDC is composed of two parts: an encoder that translates input data into text and a set of text compressors to generate a compression-ratio vector (CV). The CV is used as a feature of the input data. By preparing a set of media-specific encoders, PRDC becomes widely applicable. Analysis tasks - both categorization (class formation) and recognition (classification) - can be realized using CVs. After a ...
Tópico(s): Image Retrieval and Classification Techniques
2002 - IEEE Computer Society | IEEE Transactions on Pattern Analysis and Machine Intelligence
Peter M. Attia, Kristen Severson, Jeremy D. Witmer,
Data-driven methods for battery lifetime prediction are attracting increasing attention for applications in which the degradation mechanisms are poorly understood and suitable training sets are available. However, while advanced machine learning and deep learning methods promise high performance with minimal data preprocessing, simpler linear models with engineered features often achieve comparable performance, especially for small training sets, while also providing physical and statistical interpretability. ...
Tópico(s): Advancements in Battery Materials
2021 - Institute of Physics | Journal of The Electrochemical Society
Produção Nacional
Revisado por pares
Fernando E. B. Otero, Monique M. S. Silva, Alex A. Freitas, Júlio César Nievola,
Tópico(s): Neural Networks and Applications
2003 - Springer Science+Business Media | Lecture notes in computer science
Overviews the current data exchange formats in use today in rapid prototyping (RP), and explores their role in connection with data preparation. Tries to explain the interplay between data exchange formats, application programs, and final functionality which these programs should deliver to a user of RP technology. RP is closely related to the effective use of CAD and related systems, and can demonstrate how geometric models can be transferred from one system to another, and how they are converted ...
Tópico(s): Architecture and Computational Design
1996 - Emerald Publishing Limited | Rapid Prototyping Journal
Eric Shaffer, Michael Garland,
We present a new external memory multiresolution surface representation for massive polygonal meshes. Previous methods for building such data structures have relied on resampled surface data or employed memory intensive construction algorithms that do not scale well. Our proposed ...
Tópico(s): Computational Geometry and Mesh Generation
2005 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Visualization and Computer Graphics
In this paper, we substantiate our premise that statistics is one of the most important disciplines to provide tools and methods to find structure in and to give deeper insight into data, and the most important discipline to analyze and quantify uncertainty. We give an overview over different proposed structures of Data Science and address the impact of statistics on such steps as data acquisition and enrichment, data exploration, data analysis and modeling, validation and representation and reporting. ...
Tópico(s): Time Series Analysis and Forecasting
2018 - Springer International Publishing | International Journal of Data Science and Analytics
Anna C. Gilbert, Yannis Kotidis, S. Muthukrishnan, Michael Strauss,
We present techniques for computing small space representations of massive data streams. These are inspired by traditional wavelet-based approximations that consist of specific linear projections of the underlying data. We present general "sketch"-based methods for capturing various linear projections and use them to provide pointwise and rangesum estimation of data streams. These methods use small amounts of space and per-item time while streaming through the data and provide accurate representation ...
Tópico(s): Machine Learning and
2003 - IEEE Computer Society | IEEE Transactions on Knowledge and Data Engineering
Borbála Hunyadi, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel,
Electroencephalography ( EEG ) and functional magnetic resonance imaging ( fMRI ) record a mixture of ongoing neural processes, physiological and nonphysiological noise. The pattern of interest, such as epileptic activity, is often hidden within this noisy mixture. Therefore, blind source separation ( BSS ) techniques, which can retrieve the activity pattern of each underlying source, are very useful. Tensor decomposition techniques are very well suited to solve the BSS problem, as they provide a unique solution ...
Tópico(s): Advanced Neuroimaging Techniques and Applications
2016 - Wiley | Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Tópico(s): Bayesian Modeling and Causal Inference
2008 - Springer Science+Business Media | Data Mining and Knowledge Discovery
Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King,
Data-dependent hashing methods have demonstrated good performance in various machine learning applications to learn a low-dimensional representation from the original data. However, they still suffer from several obstacles: First, most of existing hashing methods are trained in a batch mode, yielding inefficiency for training streaming data. Second, the computational cost and the memory consumption increase extraordinarily in the big data setting, which perplexes the training procedure. Third, the ...
Tópico(s): Advanced Neural Network Applications
2019 - IEEE Computer Society | IEEE Transactions on Knowledge and Data Engineering
Roonak Rezvani, Payam Barnaghi, Shirin Enshaeifar,
The rapid growth of Internet of Things (IoT) and sensing technologies has led to an increasing interest in time-series data analysis. In many domains, detecting patterns of IoT data and interpreting these patterns are challenging issues. There are several methods in time-series analysis that deal with issues such as volume and velocity of IoT data streams. However, analysing the content of the data streams and extracting insights from dynamic IoT data is still a challenging task. In this paper, we ...
Tópico(s): Anomaly Detection Techniques and Applications
2019 - IEEE Computer Society | IEEE Transactions on Knowledge and Data Engineering
Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang,
Constrained Concept Factorization (CCF) yields the enhanced representation ability over CF by incorporating label information as additional constraints, but it cannot classify and group unlabeled data appropriately. Minimizing the difference between the original data and its reconstruction directly can enable CCF to model a small noisy perturbation, but is not robust to gross sparse errors. Besides, CCF cannot preserve the manifold structures in new representation space explicitly, especially in ...
Tópico(s): Text and Document Classification Technologies
2019 - IEEE Computer Society | IEEE Transactions on Knowledge and Data Engineering
Benjamin Lee, Dave Brown, Bongshin Lee, Christophe Hurter, Steven M. Drucker, Tim Dwyer,
... critical reflection by the authors, then by involving external participants. We find that data visceralization is an engaging way of understanding the qualitative aspects of physical measures and their real-life form, which complements analytical and quantitative understanding commonly gained from data visualization. However, data visceralization is most effective when there is a one-to-one mapping between data and representation, with transformations such as scaling affecting this understanding. ...
Tópico(s): Virtual Reality Applications and Impacts
2020 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Visualization and Computer Graphics
Yingming Li, Ming Yang, Zhongfei Zhang,
Recently, multi-view representation learning has become a rapidly growing direction in machine learning and data mining areas. This paper introduces two categories for multi-view representation learning: multi-view representation alignment and multi-view representation fusion. Consequently, we first review the representative methods and theories of multi-view representation learning based on the perspective of alignment, such as correlation-based alignment. Representative examples are canonical ...
Tópico(s): Advanced Image and Video Retrieval Techniques
2018 - IEEE Computer Society | IEEE Transactions on Knowledge and Data Engineering
The availability of large digital computers has permitted more extensive computation of power system stability, a subject of increasingly greater importance. This paper suggests a common nomenclature and control system representation of the various excitation systems now available. It can be used to define input data requirements for computer programs, and can provide a consistent format in which manufacturers can respond to requests for excitation system data to be used for system studies.
Tópico(s): Smart Grid and Power Systems
1968 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Power Apparatus and Systems
Jürgen Edelmann, Bernd Owsnicki,
The MESON project aims at a unified view at data- and knowledge base management systems (DBMS/KBMS). A KL-ONE based knowledge representation system has been implemented and is now evaluated from a terminologically independent viewpoint. The main topic of this evaluation can be summarized under the term “data model“, including definitions of data types, operations on data and knowledge base consistency. This paper gives a short introduction to some of the concepts of the MESON system and reports on ...
Tópico(s): Semantic Web and Ontologies
1986 - Springer Nature | Informatik-Fachberichte