Conferences related to Dictionaries

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2016 IEEE International Conference on Image Processing (ICIP)

Signal processing, image processing, biomedical imaging, multimedia, video, multidemensional.


2012 21st International Conference on Pattern Recognition (ICPR)

ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.


2009 2nd International Symposium on Knowledge Acquisition and Modeling (KAM)

2009 The 2nd International Symposium on Knowledge Acquisition and Modeling (KAM 2009) is concerned with the aspects of Intelligent Information Processing, acquiring, modeling, managing and exploiting knowledge, and the role of these aspects in the construction of knowledge-intensive systems and Intelligent Information services.


2007 22nd International Symposium on Computer and Information Sciences (ISCIS)

The 22nd ISCIS conference will accept research papers in one of the following three tracks: Computer Vision, Graphics and Intelligence - Networks and Systems - Data Management.



Periodicals related to Dictionaries

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Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...


Signal Processing Letters, IEEE

Rapid dissemination of new results in signal processing world-wide.


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.




Xplore Articles related to Dictionaries

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Unveiling flat traffic on the Internet: An SSH attack case study

Mattijs Jonker; Rick Hofstede; Anna Sperotto; Aiko Pras 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), 2015

Many types of brute-force attacks are known to exhibit a characteristic `flat' behavior at the network-level, meaning that connections belonging to an attack feature a similar number of packets and bytes, and duration. Flat traffic usually results from repeating similar application-layer actions, such as login attempts in a brute-force attack. For typical attacks, hundreds of attempts span over multiple connections, ...


Apparel silhouette attributes recognition

Wei Zhang; Emilio Antunez; Salih Gokturk; Baris Sumengen 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

Computer vision and machine learning have great potential to aid in aesthetic judgments and exploration, particularly in the understanding of shapes. This paper presents our work in a well-defined but largely unexplored problem in this field: the automated recognition of apparel silhouette attributes for real-world products. Silhouette attributes, such as v-neck for dresses and open toe for shoes, are very ...


A complete KALDI recipe for building Arabic speech recognition systems

Ahmed Ali; Yifan Zhang; Patrick Cardinal; Najim Dahak; Stephan Vogel; James Glass 2014 IEEE Spoken Language Technology Workshop (SLT), 2014

In this paper we present a recipe and language resources for training and testing Arabic speech recognition systems using the KALDI toolkit. We built a prototype broadcast news system using 200 hours GALE data that is publicly available through LDC. We describe in detail the decisions made in building the system: using the MADA toolkit for text normalization and vowelization; ...


American National Standard Dictionary of Electromagnetic Compatibility (EMC) including Electromagnetic Environmental Effects (E3)

ANSI C63.14-2014 (Revision of ANSI C63.14-2009), 2014

Terms associated with electromagnetic compatibility (EMC) and electromagnetic environmental effects (E3) are defined including electromagnetic pulse (EMP) and electrostatic discharge (ESD) terms. Quantities, units, multiplying factors, symbols, and abbreviations are covered.


Source number estimation algorithm for wideband LFM signal based on compressed sensing

Kang Wang; Wei Ye; Guochao Lao; Qiang Xing 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2014

Because of the samples which gained through compressive measurement effectively preserve the features information of the original signal, Compressed Sensing (CS) has been successfully applied to the detection and parameter estimation of Linear Frequency Modulation (LFM) signal. However, the source number of multi-component signal often be used as a prior knowledge which is out of accord with the practice. In ...


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Educational Resources on Dictionaries

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eLearning

Unveiling flat traffic on the Internet: An SSH attack case study

Mattijs Jonker; Rick Hofstede; Anna Sperotto; Aiko Pras 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), 2015

Many types of brute-force attacks are known to exhibit a characteristic `flat' behavior at the network-level, meaning that connections belonging to an attack feature a similar number of packets and bytes, and duration. Flat traffic usually results from repeating similar application-layer actions, such as login attempts in a brute-force attack. For typical attacks, hundreds of attempts span over multiple connections, ...


Apparel silhouette attributes recognition

Wei Zhang; Emilio Antunez; Salih Gokturk; Baris Sumengen 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

Computer vision and machine learning have great potential to aid in aesthetic judgments and exploration, particularly in the understanding of shapes. This paper presents our work in a well-defined but largely unexplored problem in this field: the automated recognition of apparel silhouette attributes for real-world products. Silhouette attributes, such as v-neck for dresses and open toe for shoes, are very ...


A complete KALDI recipe for building Arabic speech recognition systems

Ahmed Ali; Yifan Zhang; Patrick Cardinal; Najim Dahak; Stephan Vogel; James Glass 2014 IEEE Spoken Language Technology Workshop (SLT), 2014

In this paper we present a recipe and language resources for training and testing Arabic speech recognition systems using the KALDI toolkit. We built a prototype broadcast news system using 200 hours GALE data that is publicly available through LDC. We describe in detail the decisions made in building the system: using the MADA toolkit for text normalization and vowelization; ...


American National Standard Dictionary of Electromagnetic Compatibility (EMC) including Electromagnetic Environmental Effects (E3)

ANSI C63.14-2014 (Revision of ANSI C63.14-2009), 2014

Terms associated with electromagnetic compatibility (EMC) and electromagnetic environmental effects (E3) are defined including electromagnetic pulse (EMP) and electrostatic discharge (ESD) terms. Quantities, units, multiplying factors, symbols, and abbreviations are covered.


Source number estimation algorithm for wideband LFM signal based on compressed sensing

Kang Wang; Wei Ye; Guochao Lao; Qiang Xing 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2014

Because of the samples which gained through compressive measurement effectively preserve the features information of the original signal, Compressed Sensing (CS) has been successfully applied to the detection and parameter estimation of Linear Frequency Modulation (LFM) signal. However, the source number of multi-component signal often be used as a prior knowledge which is out of accord with the practice. In ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • Designing Smart Environments: A Paradigm Based on Learning and Prediction

    This chapter proposes a learning and prediction based paradigm for designing smart home environments. The foundation of this paradigm lies in information theory as it manages uncertainties in inhabitants' contexts (e.g., location or mobility, and activities) in daily lives. The underlying idea is to intelligently build compressed dictionaries of context profiles collected from sensor data, efficiently learn from this information, and then predict inhabitant's future contexts. Successful prediction helps automate device control operations and tasks within the environment as well as to identify anomalies. Thus, the learning and prediction based paradigm optimizes goal functions of smart home environments such as minimizing maintenance cost, manual interactions and energy utilization. After describing some important features of smart environments, this chapter presents the architecture details of our MavHome project. The proposed paradigm is then applied to the inhabitant's location and activity tracking and prediction, and automated decision making capability. MavHome implementation issues and some practical issues are also discussed.

  • Query Translation Using Evolutionary Programming for Multi-Lingual Information Retrieval

    Multi-lingual information retrieval (IR) systems apply queries in one language to a document collection in several different languages with the goal of retrieving only those documents relevant to the query. At first glance, deep linguistic analysis and translation of the query appears necessary before retrievals can be performed. IR systems are unique in natural language processing, however, because a pattern of term occurrences in a document generally suffices to determine the subject matter; word order is largely irrelevant. Translated queries are therefore primarily derived by a mapping from a word set in the query language to a word set in the language of the derived query. Large parallel text collections with sentencelevel alignments can provide a baseline for evaluating the correctness of a query translation, but the determination of members of the query translation remains problematic. Constructing a query from machine-readable, bilingual dictionaries and assigning term weights by the evolutionary optimization of a population of potential weighting schemes presents a solution to the difficulties of generating translated queries. In this approach, differences in the rank statistics on the comparative recall results for a query against its native language and its translation against its native language determine the fitness of a tentative query translation.

  • References

    The use of computers to understand words continues to be an area of burgeoning research. Electric Words is the first general survey of and introduction to the entire range of work in lexical linguistics and corpora -- the study of such on-line resources as dictionaries and other texts -- in the broader fields of natural-language processing and artificial intelligence. The authors integrate and synthesize the goals and methods of computational lexicons in relation to AI's sister disciplines of philosophy, linguistics, and psychology. One of the underlying messages of the book is that current research should be guided by both computational and theoretical tools and not only by statistical techniques -- that matters have gone far beyond counting to encompass the difficult province of meaning itself and how it can be formally expressed.Electric Words delves first into the philosophical background of the study of meaning, specifically word meaning, then into the early work on treating dictionaries as texts, the first serious efforts at extracting information from machine-readable dictionaries (MRDs), and the conversion of MRDs into usable lexical knowledge bases. The authors provide a comparative survey of worldwide work on extracting usable structures from dictionaries for computational-linguistic purposes and a discussion of how those structures differ from or interact with structures derived from standard texts (or corpora). Also covered are automatic techniques for analyzing MRDs, genus hierarchies and networks, numerical methods of language processing related to dictionaries, automatic processing of bilingual dictionaries, and consumer projects using MRDs.

  • Front Matter

    This chapter contains sections titled: Half Title, ACL-MIT Press Series in Natural Language Processing, Title, Copyright, Contents, Preface, Acknowledgments

  • Symbolic Accounts of Definitional Meaning

    This chapter contains sections titled: Truth Conditions as a Theory of Meaning, Meaning as Deductive or Inferential Relations, Meaning as Equivalent to Symbolic Structures

  • Index

    The use of computers to understand words continues to be an area of burgeoning research. Electric Words is the first general survey of and introduction to the entire range of work in lexical linguistics and corpora -- the study of such on-line resources as dictionaries and other texts -- in the broader fields of natural-language processing and artificial intelligence. The authors integrate and synthesize the goals and methods of computational lexicons in relation to AI's sister disciplines of philosophy, linguistics, and psychology. One of the underlying messages of the book is that current research should be guided by both computational and theoretical tools and not only by statistical techniques -- that matters have gone far beyond counting to encompass the difficult province of meaning itself and how it can be formally expressed.Electric Words delves first into the philosophical background of the study of meaning, specifically word meaning, then into the early work on treating dictionaries as texts, the first serious efforts at extracting information from machine-readable dictionaries (MRDs), and the conversion of MRDs into usable lexical knowledge bases. The authors provide a comparative survey of worldwide work on extracting usable structures from dictionaries for computational-linguistic purposes and a discussion of how those structures differ from or interact with structures derived from standard texts (or corpora). Also covered are automatic techniques for analyzing MRDs, genus hierarchies and networks, numerical methods of language processing related to dictionaries, automatic processing of bilingual dictionaries, and consumer projects using MRDs.

  • Index

    The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how Machine Learning techniques can improve Statistical Machine Translation, currently at the forefront of research in the field. The book looks first at enabling technologies-- technologies that solve problems that are not Machine Translation proper but are linked closely to the development of a Machine Translation system. These include the acquisition of bilingual sentence-aligned data from comparable corpora, automatic construction of multilingual name dictionaries, and word alignment. The book then presents new or improved statistical Machine Translation techniques, including a discriminative training framework for leveraging syntactic information, the use of semi-supervised and kernel-based learning methods, and the combination of multiple Machine Translation outputs in order to improve overall translation quality.ContributorsSrinivas Bangalore, Nicola Cancedda, Josep M. Crego, Marc Dymetman, Jakob Elming, George Foster, Jesús Giménez, Cyril Goutte, Nizar Habash, Gholamreza Haffari, Patrick Haffner, Hitoshi Isahara, Stephan Kanthak, Alexandre Klementiev, Gregor Leusch, Pierre Mahé, Lluís Màrquez, Evgeny Matusov, I. Dan Melamed, Ion Muslea, Hermann Ney, Bruno Pouliquen, Dan Roth, Anoop Sarkar, John Shawe-Taylor, Ralf Steinberger, Joseph Turian, Nicola Ueffing, Masao Utiyama, Zhuoran Wang, Benjamin Wellington, Kenji Yamada

  • Introduction

    This chapter contains sections titled: Machine-Readable Texts and Dictionaries

  • Generic Collections: Lists and Dictionaries (C# 2.0) 158

    This chapter contains sections titled: The ICollection<T> Interface, Enumerators and Enumerables, Ordered Values: Comparables and Comparers, The IList<T> Interface, The IDictionary<K,V> Interface, The List<T> Class, The Dictionary<K,V> Class, The Key Value Pair<K,V> Struct Type, The Sorted Dictionary<K,V> Class, The Queue<T> Class, The Stack<T> Class

  • Primitives in Meaning Definition

    This chapter contains sections titled: Escape Arguments, Putnam's Argument, Charniak's Argument, Toward a Clearer View of Semantic Primitives



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