Discriminant Patch Representation for RGB-D Face Recognition Using Convolutional Neural Networks [PDF]
arXiv, 2018 This paper focuses on designing data-driven models to learn a discriminant representation space for face recognition using RGB-D data. Unlike hand-crafted representations, learned models can extract and organize the discriminant information from the data, and can automatically adapt to build new compute vision applications faster.
arxiv
A Five-Factor Measure of Obsessive-Compulsive Personality Traits. [PDF]
, 2012 The current study provides convergent, discriminant, and incremental validity data for the Five-Factor Obsessive-Compulsive Inventory (FFOCI), a newly-developed measure of traits relevant to obsessive-compulsive personality disorder (OCPD) from the ...
Lynam, Donald R +4 more
core +3 more sources
Measurement Model of Service Quality, Regional Tax Regulations, Taxpayer Satisfaction Level, Behavior and Compliance Using Confirmatory Factor Analysis [PDF]
, 2014 The purpose of this research is to study the indicators and variables that form quality of tax services, regional tax regulations, taxpayer satisfaction level, taxpayer behavior, as well their compliance in theory using confirmatory factor analysis ...
Bambang Widjanarko, Otok +4 more
core
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks [PDF]
arXiv, 2020 Network pruning has become the de facto tool to accelerate deep neural networks for mobile and edge applications. Recently, feature-map discriminant based channel pruning has shown promising results, as it aligns well with the CNN objective of differentiating multiple classes and offers better interpretability of the pruning decision. However, existing
arxiv
Assessing metacognitive skills in waking and sleep: A psychometric analysis of the metacognitive, affective, cognitive experience (MACE) questionnaire [PDF]
, 2012 The Metacognition, Affective, Cognitive Experience (MACE) questionnaire was designed to assess metacognition across sleep and waking (Kahan & LaBerge, 1996). The present research evaluates the psychometric properties of the MACE.
Kahan, Tracey L., Sullivan, Kieran T.
core +2 more sources
Causal Inference for Social Discrimination Reasoning [PDF]
arXiv, 2016 The discovery of discriminatory bias in human or automated decision making is a task of increasing importance and difficulty, exacerbated by the pervasive use of machine learning and data mining. Currently, discrimination discovery largely relies upon correlation analysis of decisions records, disregarding the impact of confounding biases. We present a
arxiv
Development and Initial Validation of a Questionnaire to Measure Health-Related Quality of Life of Adults with Common Variable Immune Deficiency: The CVID_QoL Questionnaire. [PDF]
, 2016 BACKGROUND: Generic health status quality of life (QoL) instruments have been used in patients with common variable immune deficiency (CVID). However, by their nature, these tools may over- or underestimate the impact of diseases on an individual's QoL.
Abeni, D +8 more
core +1 more source
Pain Research and Management, 2014 BACKGROUND In clinical practice, children are often asked to rate their pain intensity on a simple 0 to 10 numerical rating scale (NRS). Although the NRS is a well-established measure for adults, no study has yet evaluated its validity for children with ...
Danielle Ruskin +8 more
semanticscholar +1 more source
Survey Research Methods, 2012 Schwartz's theory of human values, as operationalized using different instruments such as the Portrait Values Questionnaire (PVQ), was confirmed by multiple studies using Smallest Space Analysis (SSA).
Willem E. Saris +2 more
doaj +1 more source