The Journal of Pattern Recognition Research (JPRR) provides an international forum for the electronic publication of high-quality research and industrial experience articles in all areas of pattern recognition, machine learning, and artificial intelligence. JPRR is committed to rigorous yet rapid reviewing. Final versions are published electronically
(ISSN 1558-884X) immediately upon acceptance.
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JPRR selected for the Emerging Sources Citation Index (ESCI)
ESCI

We are pleased to announce that the Journal of Pattern Recognition Research (JPRR) has been selected for coverage in Thomson Reuters products and services. Beginning with content published in 2015, this publication will be indexed and abstracted in Emerging Sources Citation Index (ESCI).

JPRR's content in ESCI is under consideration by Thomson Reuters for inclusion in products such as the Science Citation Index Expanded™ (SCIE), the Social Sciences Citation Index® (SSCI), and the Arts & Humanities Citation Index® (AHCI).

Read the journal's most cited open-access articles online! Submit your next article to JPRR!

Vol 14, No 1 (2019)
Applications
A Prescriptive Analytics Approach to Markdown Pricing for an E-Commerce Retailer 1-21
This paper introduces a prescriptive analytics approach to solving markdown-pricing optimization for an e-commerce retailer capable of price differentiation based on customer demand elasticity and the cost of delivery or other services.
JPRR Vol 14, No 1 (2019); doi:10.13176/11.842
Vol 12, No 1 (2017)
Pattern Recognition Theory
Pattern Similarity Score Based on One Dimensional Time Series Analysis 1-6
A novel procedure to quantify similarity in different images based on time-series analysis is reported. Pattern recognition and matching operation includes parameters such as mean, correlation, mutual information etc.
JPRR Vol 12, No 1 (2017); doi:10.13176/11.744
Applications
Violence Detection From ECG Signals: A Preliminary Study 7-13
This research studied violence detection from less than 6-second ECG signals. Features were calculated based on the Bivariate Empirical Mode Decomposition (BEMD) and the Recurrence Quantification Analysis (RQA) applied to ECG signals from violence simulation in a primary school, involving 12 pupils from two grades.
JPRR Vol 12, No 1 (2017); doi:10.13176/11.790