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.
Vol 9, No 1 (2014)
Pattern Recognition Theory
Speed-Up Template Matching Through Integral Image Based Weak Classifiers 1-12
Template matching is a widely used pattern recognition method, especially in industrial inspection. However, the computational costs of traditional template matching increase dramatically with both template-and scene imagesize.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.516
Minimum Manifold-Based Within-Class Scatter Support Vector Machine 79-89
Although Support Vector Machine (SVM) is widely used in practice, it only takes the boundary information between classes into consideration while neglects the data distribution, which seriously limits the classification efficiency.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.565
Randomized Algorithm for Approximate Nearest Neighbor Search in High Dimensions 111-122
A randomized algorithm employs a degree of randomness as part of its logic with uniform random bits as an auxiliary input to guide its behavior, in the hope of achieving good average runtime performance over all possible choices of the random bits.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.599
Direct Inverse Randomized Hough Transform for Incomplete Ellipse Detection in Noisy Images 13-24
A direct inverse randomized Hough transform (DIRHT) is developed as a pre-processing procedure for incomplete ellipse detection in images with strong noise.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.512
Virtual DMA Municipal Water Supply Pipeline Leak Detection and Classification Using Advance Pattern Recognizer Multi-Class SVM 25-42
In this paper we investigated and analyzed the concept of virtual DMA as the core objective of the research to resolve the current Gap and limitations of the DMA state of practice through the development of Virtual DMA Leakage Monitoring and Classification System Using Multi-class Support Vector Machine (SVM) Advanced Pattern Recognizer at Lille University WDS study area the so called “Zone-6”.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.548
Machine Learning Based Acoustic/IR Monitoring 43-49
Chiropteran monitoring has become an important public concern given that wind turbines pose the threat of injury or death to bats through direct impact or barotraumas.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.594
Techniques in Pattern Recognition for School Bullying Prevention: Review and Outlook 50-63
School bullying is a serious problem among teenagers. With the development of sensor technology and pattern recognition algorithms, several approaches for detecting school bullying have been developed, namely speech emotion recognition, mental stress recog- nition, and activity recognition.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.586
DEMD-Based Image Compression Scheme in a Compressive Sensing Framework 64-78
Efficient representation of the background texture in video image frames, motivates compression strategies based on good perceptual reconstruction quality, instead of just bit-accurate reconstruction.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.580
2-D Shapes Description by Using Features Based on the Differential Turning Angle Scalogram 90-110
A 2-D shape description using the turning angle (or tangential angle) is presented . This representation is based on a scalogram obtained from a progressive filtering of a planar closed contour of an object.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.571
A Body Part Segmentation System for Human Activity Recognition in Videos 123-137
Identification of body parts is an important first step for many tasks such as action recognition in automatic surveillance systems.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.611
Vol 8, No 1 (2013)
Pattern Recognition Theory
On the Analogy of Classifier Ensembles With Primary Classifiers: Statistical Performance and Optimality 98-122
The question of how we can exploit the ability to combine different learning entities is fundamental to the core of automated pattern analysis and dictates contemporary research efforts in the field of decision fusion.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.497
A System for Handwritten Script Identification From Indian Document 1-12
In a country like India a number of scripts (a total of 13) are used to write different official languages (a total of 23). For development of Optical Character Recognizer (OCR) for a particular language, the script by which the document is written is to be identified first.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.485
Kernel Non-Negative Matrix Factorization for Seismic Signature Separation 13-25
A supervised learning algorithm for the separation of seismic sources in a single channel is presented. The proposed algorithm employs non-negative matrix factorization (NMF) technique in the feature space, called Kernel NMF (KNMF).
JPRR Vol 8, No 1 (2013); doi:10.13176/11.463
Stereo Disparity and Optical Flow Fusion by Geometric Relationship and an Efficient Recursive Algorithm 26-38
We suggest a relationship, called stereo-motion equation, between stereo disparity and optical flow, and a recursive filter, as an efficient algorithm to estimate the two quantities.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.210
Capped K-NN Editing in Definition Lacking Environments 39-58
While any input may be contributing, imprecise specification of class of data subdivided into classes identifies as rather common a source of noise.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.465
CUES: A New Hierarchical Approach for Document Clustering 66-84
Objective of the document clustering techniques is to assemble similar documents and segregate dissimilar documents. Unlike document classification, no labeled documents are provided in document clustering.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.459
An Image Visual Quality Assessment Method Based on SIFT Features 85-97
There are a number of distortions in image acquisition, processing, compression, storage, transmission, and reproduction. Existing image metrics provide a good judgement on these image distortions.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.511
Dismount Detection Using Kernel Sparse Representation 123-131
This paper describes a new application of kernel sparse detection technique for hyperspectral imagery (HSI) in conjunction with a sequential forward feature selection (SFFS) scheme that reduces the dimensionality to a tractable volume.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.528
Short Letters
Some Features of the Users' Activities in the Mobile Telephone Network 59-65
JPRR Vol 8, No 1 (2013); doi:10.13176/11.517