title: Predicting Library of Congress Classifications from Library of Congress Subject Headings

authors: Frank, Eibe

subjects: computer science

abstract: This paper addresses the problem of automatically assigning a Library of Congress Classification (LCC) to work given its set of Library of Congress Subject Headings (LCSH). LCC are organized in a tree: the root node of this hierarchy comprises all possible topics, and leaf nodes correspond to the most specialized topic areas defined. We describe a procedure that, given a resource identified by its LCSH, automatically places that resource in the LCC hierarchy. The procedure uses machine learning techniques and training data from a large library catalog to learn a classification model mapping from sets of LCSH to nodes in the LCC tree. We present empirical results for our technique showing its accuracy on an independent collection of 50,000 LCSH/LCC pairs.

text: Predicting Library of Congress Classifications from Library of Congress Subject Headings This paper addresses the problem of automatically assigning a Library of Congress Classification (LCC) to work given its set of Library of Congress Subject Headings (LCSH). LCC are organized in a tree: the root node of this hierarchy comprises all possible topics, and leaf nodes correspond to the most specialized topic areas defined. We describe a procedure that, given a resource identified by its LCSH, automatically places that resource in the LCC hierarchy. The procedure uses machine learning techniques and training data from a large library catalog to learn a classification model mapping from sets of LCSH to nodes in the LCC tree. We present empirical results for our technique showing its accuracy on an independent collection of 50,000 LCSH/LCC pairs.

year: 2003-01

title: Gait analysis of pedestrians with the aim of detecting disabled people

authors: Mukhtar, Amir

abstract: Gait classification is an effective and non-intrusive method for human identification and it has received significant attention in the recent years due to its applications in visual surveillance and monitoring systems. We analyse gait signatures using spatio-temporal motion characteristics of a person to answer the question ``is there a discriminating feature in the gait signal that can help to categorise a disabled person from healthy?''. The procedure has three steps: detection of a pedestrian using YOLO followed by the silhouette extraction using the Gaussian Mixture Model (GMM). Finally, skeletonization from the silhouette image to estimate head and torso locations and their angles with the vertical axis. Furthermore, velocity and acceleration signals were recorded to look for accelerating behaviour of person walking with a limp. Manual segmentations shows that the gait signal has information about unusual walking patterns but existing pedestrian detectors lack accuracy in extracting an accurate gait signal due to localization errors.

text: Gait analysis of pedestrians with the aim of detecting disabled people Gait classification is an effective and non-intrusive method for human identification and it has received significant attention in the recent years due to its applications in visual surveillance and monitoring systems. We analyse gait signatures using spatio-temporal motion characteristics of a person to answer the question ``is there a discriminating feature in the gait signal that can help to categorise a disabled person from healthy?''. The procedure has three steps: detection of a pedestrian using YOLO followed by the silhouette extraction using the Gaussian Mixture Model (GMM). Finally, skeletonization from the silhouette image to estimate head and torso locations and their angles with the vertical axis. Furthermore, velocity and acceleration signals were recorded to look for accelerating behaviour of person walking with a limp. Manual segmentations shows that the gait signal has information about unusual walking patterns but existing pedestrian detectors lack accuracy in extracting an accurate gait signal due to localization errors.

year: 2018

title: Exploring the nature of intimate relationships: A Māori perspective

authors: King, Pita

subjects: Maori

abstract: The 2002 World Report on Violence states that violence occurs in about 70 percent of intimate relationships (Krug, Dahlberg, Mercy, Zwi, & Lozano, 2002). New Zealand research indicates that more than a quarter of relationships have experienced intimate partner violence (IPV), with Māori (Indigenous people of New Zealand) women three times more likely to experience IPV in their lifetime. Utilising Kaupapa Māori (Māori-centred approach) and narrative methodologies, this paper explores the nature of intimate relationships from a Māori perspective, investigating how Māori initiate intimate relationships, attempt to maintain positive intimate relationships and when applicable, exit intimate relationships. The findings from two case studies reveal that intimate relationships involve identity negotiation and an incorporation of cultural values. Communication processes are highlighted as a facilitating factor of intimate relationships.

text: Exploring the nature of intimate relationships: A Māori perspective The 2002 World Report on Violence states that violence occurs in about 70 percent of intimate relationships (Krug, Dahlberg, Mercy, Zwi, & Lozano, 2002). New Zealand research indicates that more than a quarter of relationships have experienced intimate partner violence (IPV), with Māori (Indigenous people of New Zealand) women three times more likely to experience IPV in their lifetime. Utilising Kaupapa Māori (Māori-centred approach) and narrative methodologies, this paper explores the nature of intimate relationships from a Māori perspective, investigating how Māori initiate intimate relationships, attempt to maintain positive intimate relationships and when applicable, exit intimate relationships. The findings from two case studies reveal that intimate relationships involve identity negotiation and an incorporation of cultural values. Communication processes are highlighted as a facilitating factor of intimate relationships.

year: 2012