A New Strategy of the Bag-of-Word Method with a
Multi-scale Representation for Evaluating Color Pairwise Descriptors by Ahmed
Kaffel in Open Access Biostatistics & Bioinformatic: crimson publishers
open access journal- Crimson Publishers
In the field of image categorization, the
Bag-Of-Word has proved to be successful. It treats local image features as
visual words. After collecting all local features, each image is represented by
a histogram of occurrences of visual words. In this work, we propose an
extension to the Bag-Of-Words (BOW) by integrating the spatial relationships
information between local features. In a first step, we extract local features
by using both multi-scale representation and color descriptors based on
HSV-SIFT, opponent-SIFT, RGB-SIFT, rg-SIFT and transformed-color-SIFT. In a
second step, and in order to represent
the relationships between local features, we form pairwise color descriptors by
joining pairs of spatially neighbor SIFT color features. In a third step, we
encode the histograms which involve the occurrence of pairwise color
descriptors by applying the BOW strategy and the Spatial Pyramid Representation
(SPR). Finally, image classification is carried out by using Support Vector
Machine (SVM) on the generated histograms. Our proposed method is tested and
validated using the standard image datasets “Pascal Voc 2007”.
Mining Online Author’s Publication to Report the
Core Research Domain with PubMed MeSH Terms: a Systematic Review for a Journal
by Tsair Wei Chien in Open Access Biostatistics & Bioinformatic: Crimson
Publishers- crimson publishers open access journal
Background: Identifying an author’s research domain
(RD) using MeSH (Medical Subject Headings) terms is essential for a journal’s
development and its readership, but no journal uses mining online methods or
social network analysis (SNA) to extract journal publication information to
report an author’s contributions.
Objective: To select prestigious authors and
papers that have contributed most to a journal, we retrospectively (1)
calculated an SCI (Science Citation Index) journal’s most recent impact factors
(IF) and (2) used graphical representations that include MeSH terms of RDs for
authors and journals.
Methods: We collected 2,053 papers published
between July 1, 1999, and April 3, 2017, in the Journal of Medical Internet
Research (JMIR) and cited by 673 journals, for which we also collected annual
IFs for 394 SCI journals, including the JMIR. The prestigious authors and JMIR
papers based on the weight of the 5-year SCI IFs from 394 cited-by papers in
2015. The JMIR core aims and scope are presented using major MeSH terms based
on their corresponding average weighted scores. Social network analysis was
used to create a graphical RD pattern for JMIR, and its prestigious papers and
authors.
