Linear regression

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In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more variables denoted X. (Wikipedia.org)






Conferences related to Linear regression

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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 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.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

The technical scope of VTC2018-Spring includes:Ad-hoc, Mesh, and Sensor NetworksAntennas and Propagation and RF DesignCognitive Radio and Spectrum SensingCooperative Communications, Distributed MIMO and RelayingMobile Networks, Applications and ServicesMultiple Antenna Systems and ServicesSatellite Networks, Positioning Technologies, Localization and NavigationTransmission Technologies and Communication TheoryTransportation, Vehicular Networks, and Vehicular Electronics and Telematics; Wireless AccessWireless Networks and SecurityHealth, Body-Area and Medical Device NetworksGreen NetworksMedium access control and routing protocolsNarrowband, wideband and ultra-widebandPHY and MAC layer designChannel modeling, equalization, synchronization, modulation and codingOFDM, CDMA, WiMAXLTE AdvancedITS, Car-to-car, and Car-to-X


2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE is the top leading conferencein the area of theory and applications of fuzzy logic.


2018 IEEE International Conference on Robotics and Automation (ICRA)

ICRA is the IEEE Robotics and Automation Society's flagship conference and is a premier international forum for robotics researchers to present their work.


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Periodicals related to Linear regression

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


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Xplore Articles related to Linear regression

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Short-term load forecasting using artificial neural networks

[{u'author_order': 1, u'affiliation': u'Picker Engineering Program Smith College Northampton, MA 01063', u'full_name': u'Chin Yen Tee'}, {u'author_order': 2, u'affiliation': u'Picker Engineering Program Smith College Northampton, MA 01063', u'full_name': u'Judith B. Cardell'}, {u'author_order': 3, u'affiliation': u'Picker Engineering Program Smith College Northampton, MA 01063', u'full_name': u'Glenn W. Ellis'}] 41st North American Power Symposium, None

The deregulation of the power system industry has made short term load forecasting increasingly important. This paper presents an artificial neural network based hour ahead load forecasting model that improves upon previous models by using the entire load profile of the previous day, rather than making potentially unjustified assumptions about the functional relationship between past hours load and current load. ...


An improved method for emitter identification based on nonlinear characteristics of power amplifiers

[{u'author_order': 1, u'affiliation': u'Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China', u'full_name': u'Jinming Wang'}, {u'author_order': 2, u'affiliation': u'Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China', u'full_name': u'Lei Kong'}, {u'author_order': 3, u'affiliation': u'Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China', u'full_name': u'Zhijun Xu'}, {u'author_order': 4, u'affiliation': u'Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China', u'full_name': u'Yu Guan'}] 2013 6th International Congress on Image and Signal Processing (CISP), None

An improved method is proposed for emitter identification in this paper, which is based on nonlinearity character of the power amplifier. Assuming that the input signal is narrow band and low-power, it can bi got that the harmonic features from the analyzing of the signal. Besides, Harmonic features is only related to the Taylor series coefficients. This paper proposed an ...


Meta-analysis of the relationship between product innovativeness and new product performance

[{u'author_order': 1, u'affiliation': u'Sch. of Manage., Harbin Inst. of Technol., Harbin, China', u'full_name': u'Peng-bin Gao'}, {u'author_order': 2, u'affiliation': u'Sch. of Manage., Harbin Inst. of Technol., Harbin, China', u'full_name': u'Wei-wei Wu'}, {u'author_order': 3, u'affiliation': u'Sch. of Manage., Harbin Inst. of Technol., Harbin, China', u'full_name': u'Bo Yu'}] 2012 International Conference on Management Science & Engineering 19th Annual Conference Proceedings, None

The topic of identifying factors that result in new product success and failure has drawn substantial attention. Among those factors, product innovativeness is deemed to a critical one. Despite years of research in the relationship between product innovativeness and new product performance, the empirical results show conflicting conclusion. To offer much needed clarity, the authors conducted a meta-analysis of 39 ...


Several recent developments in estimation and robust control of quantum systems

[{u'author_order': 1, u'affiliation': u'School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia', u'full_name': u'Daoyi Dong'}, {u'author_order': 2, u'affiliation': u'School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia', u'full_name': u'Yuanlong Wang'}] 2017 Australian and New Zealand Control Conference (ANZCC), None

This paper summarizes several recent developments in the area of estimation and robust control of quantum systems and outlines several directions for future research. Quantum state tomography via linear regression estimation and adaptive quantum state estimation are introduced and a Hamiltonian identification algorithm is outlined. Two quantum robust control approaches including sliding mode control and sampling-based learning control are illustrated.


Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization

[{u'author_order': 1, u'affiliation': u'State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China', u'full_name': u'Shaohua Zhang'}, {u'author_order': 2, u'affiliation': u'State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China', u'full_name': u'Hua Yang'}, {u'author_order': 3, u'affiliation': u'State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China', u'full_name': u'Zhou-Ping Yin'}] IEEE Signal Processing Letters, 2016

Features are crucial for extensive facial landmark localization (EFLL), while deep convolutional neural network (DCNN) features lead to breakthroughs in diverse visual recognition tasks. However, there is little study of DCNN features for EFLL, mainly because less labeled data with extensive facial landmarks are available. In this letter, we employ transfer learning to overcome this limitation, and utilize DCNN for ...


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Educational Resources on Linear regression

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eLearning

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IEEE.tv Videos

Single Frame Super Resolution: Fuzzy Rule-Based and Gaussian Mixture Regression Approaches
IMS 2012 Microapps - RF System Design: Moving Beyond a Linear Datasheet
IMS 2011 Microapps - STAN Tool: A New Method for Linear and Nonlinear Stability Analysis of Microwave Circuits
A 20dBm Configurable Linear CMOS RF Power Amplifier for Multi-Standard Transmitters: RFIC Industry Showcase
A High-Efficiency Linear Power Amplifier for 28GHz Mobile Communications in 40nm CMOS: RFIC Interactive Forum 2017
Co-design of Power Amplifier and Dynamic Power Supplies for Radar and Communications Transmitters
Advances in Kernel Methods
Phase Retrieval with Application to Optical Imaging
Provably-Correct Robot Control with LTLMoP, OMPL and ROS
Sparse Fuzzy Modeling - Nikhil R Pal - WCCI 2016
WIE ILC 2015 - Being Fearless: A Keynote with Patty Hatter of Intel
Learning through Deterministic Assignment of Hidden Parameter
Interaction of ferromagnetic and superconducting permanent magnets - superconducting levitation
Micro-Apps 2013: Design Methodology for GaAs MMIC PA
IEEE Magnetics 2014 Distinguished Lectures - JONATHAN COKER
Micro-Apps 2013: Breaking the RF Carrier Barrier - 0 to 200 in Under a Second
Control of a Fully-Actuated Airship for Satellite Emulation
Superconducting MAGLEV in Japan - ASC-2014 Plenary series - 13 of 13 - Friday 2014/8/15
A 200um x 200um x 100um, 63nW, 2.4GHz Injectable Fully-Monolithic Wireless BioSensing System: RFIC Industry Showcase 2017
IMS 2014: Broadband Continuous-mode Power Amplifiers

IEEE-USA E-Books

  • Convertibility across Measurement Methods

    This chapter contains sections titled: * Introduction * Overview of Previous Convertibility Studies * A Convertibility Study of an Industry Dataset * FP to Cosmic Convertibility: Issues and Discussion

  • Feature and Model Transformation

    This chapter contains sections titled: Feature Transformation Techniques Model Transformation Techniques Acoustic Model Combination Summary and Further Reading Principal Symbols

  • Regression Models in Risk Management

    This chapter discusses theory and application of generalized linear regression that minimizes a general error measure of regression residual subject to various constraints on regression coefficients and includes least-squares linear regression, median regression, quantile regression, mixed quantile regression, and robust regression as special cases. Application of generalized linear regression includes examples of financial index tracking, sparse signal reconstruction, therapy treatment planning, collateralized debt obligation, mutual fund return-based style classification, and mortgage pipeline hedging. The chapter introduces risk envelopes and risk identifiers, and also states the error decomposition theorem. It discusses special types of unconstrained and constrained linear regressions encountered in statistical decision problems. Constrained least-squares linear regression is used in an intensity- modulated radiation therapy (IMRT) treatment-planning problem. Robust regression aims to reduce influence of sample outliers on regression parameters, especially when regression error has heavy tails.



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