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    ICPRAM 2017 - 6th International Conference on Pattern Recognition Applications and Methods – ICPRAM 2017

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    Website http://www.icpram.org/ | Want to Edit it Edit Freely

    Category ICPRAM 2017

    Deadline: October 04, 2016 | Date: February 24, 2017-February 26, 2017

    Venue/Country: Portugal

    Updated: 2016-07-02 01:37:19 (GMT+9)

    Call For Papers - CFP

    Venue:

    Porto, Portugal

    Event date:

    24 - 26 February, 2017

    Regular Papers

    Paper Submission: October 4, 2016

    Authors Notification: November 28, 2016

    Camera Ready and Registration: December 13, 2016

    Position Papers

    Paper Submission: November 8, 2016

    Authors Notification: December 13, 2016

    Camera Ready and Registration: December 30, 2016

    Workshops

    Workshop Proposal: November 7, 2016

    Doctoral Consortium

    Paper Submission: December 26, 2016

    Authors Notification: January 6, 2017

    Camera Ready and Registration: January 16, 2017

    Special Sessions

    Special Session Proposal: November 23, 2016

    Tutorials, Demos and Panels Proposals: December 29, 2016

    Scope:

    The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.

    Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

    ICPRAM 2017 will be held in conjunction with ICORES 2017 and ICAART 2017.

    Registration to ICPRAM allows free access to the ICORES and ICAART conferences (as a non-speaker).

    CONFERENCE AREAS:

    Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

    1. THEORY AND METHODS

    2. APPLICATIONS

    AREA 1: THEORY AND METHODS

    - Exact and Approximate Inference

    - Density Estimation

    - Bayesian Models

    - Gaussian Processes

    - Model Selection

    - Graphical and Graph-based Models

    - Missing Data

    - Ensemble Methods

    - Neural Networks

    - Kernel Methods

    - Large Margin Methods

    - Classification

    - Regression

    - Sparsity

    - Feature Selection and Extraction

    - Spectral Methods

    - Embedding and Manifold Learning

    - Similarity and Distance Learning

    - Matrix Factorization

    - Clustering

    - ICA, PCA, CCA and other Linear Models

    - Fuzzy Logic

    - Active Learning

    - Cost-sensitive Learning

    - Incremental Learning

    - On-line Learning

    - Structured Learning

    - Multi-agent Learning

    - Multi-instance Learning

    - Reinforcement Learning

    - Instance-based Learning

    - Knowledge Acquisition and Representation

    - Meta Learning

    - Multi-strategy Learning

    - Case-Based Reasoning

    - Inductive Learning

    - Computational Learning Theory

    - Cooperative Learning

    - Evolutionary Computation

    - Information Retrieval and Learning

    - Hybrid Learning Algorithms

    - Planning and Learning

    - Convex Optimization

    - Stochastic Methods

    - Combinatorial Optimization

    - Multiclassifier Fusion

    AREA 2: APPLICATIONS

    - Natural Language Processing

    - Information Retrieval

    - Ranking

    - Web Applications

    - Economics, Business and Forecasting Applications

    - Bioinformatics and Systems Biology

    - Audio and Speech Processing

    - Signal Processing

    - Image Understanding

    - Sensors and Early Vision

    - Motion and Tracking

    - Image-based Modelling

    - Shape Representation

    - Object Recognition

    - Video Analysis

    - Medical Imaging

    - Learning and Adaptive Control

    - Perception

    - Learning in Process Automation

    - Learning of Action Patterns

    - Virtual Environments

    - Robotics

    - Biometrics

    KEYNOTE LECTURES

    ICPRAM 2017 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.

    CONFERENCE CHAIR

    Ana Fred, Instituto de Telecomunicações / IST, Portugal

    PROGRAM CO-CHAIRS

    Maria De Marsico, Sapienza Università di Roma, Italy

    Gabriella Sanniti di Baja, ICAR-CNR, Italy

    PROGRAM COMMITTEE

    http://www.icpram.org/ProgramCommittee.aspx

    ICPRAM Secretariat

    Address: Av. D. Manuel I, 27A, 2º esq.

    2910-595 Setúbal - Portugal

    Tel: +351 265 520 185

    Fax: +351 265 520 186

    e-mail: icpram.secretariatatinsticc.org

    Web: http://www.icpram.org/


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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