Quality-based Multimodal Classification Using Tree-Structured Sparsity

Recent studies have demonstrated advantages of information fusion based on sparsity models for multimodal classification. Among several sparsity models, tree-structured sparsity provides a flexible framework for extraction of cross-correlated information from different sources and for enforcing group sparsity at multiple granularities. However, the existing algorithm only solves an approximated version of the cost functional and the resulting solution is not necessarily sparse at group levels. This paper reformulates the tree-structured sparse model for multimodal classification task. An accelerated proximal algorithm is proposed to solve the optimization problem, which is an efficient tool for feature-level fusion among either homogeneous or heterogeneous sources of information. In addition, a (fuzzy-set-theoretic) possibilistic scheme is proposed to weight the available modalities, based on their respective reliability, in a joint optimization problem for finding the sparsity codes. This approach provides a general framework for quality-based fusion that offers added robustness to several sparsity-based multimodal classification algorithms. To demonstrate their efficacy, the proposed methods are evaluated on three different applications - multiview face recognition, multimodal face recognition, and target classification.Comment: To Appear in 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014

Quantum optomechanics of a multimode system coupled via photothermal and radiation pressure force

We provide a full quantum description of the optomechanical system formed by a Fabry-Perot cavity with a movable micro-mechanical mirror whose center-of-mass and internal elastic modes are coupled to the driven cavity mode by both radiation pressure and photothermal force. Adopting a quantum Langevin description, we investigate simultaneous cooling of the micromirror elastic and center-of-mass modes, and also the entanglement properties of the optomechanical multipartite system in its steady state.Comment: 11 pages, 7 figure

Impact of loss on the wave dynamics in photonic waveguide lattices

We analyze the impact of loss in lattices of coupled optical waveguides and find that in such case, the hopping between adjacent waveguides is necessarily complex. This results not only in a transition of the light spreading from ballistic to diffusive, but also in a new kind of diffraction that is caused by loss dispersion. We prove our theoretical results with experimental observations.Comment: Accepted for publication in PRL, 5+8 pages (Paper + Supplemental material), 4 figure

Developing a cerebral palsy-specific preference-based measure for a six-dimensional classification system (CP-6D): protocol for a valuation study.

INTRODUCTION: Cerebral palsy (CP) is a lifelong condition. The CP quality of life (CPQOL) instrument is a frequently used disease-specific instrument to assess health-related quality of life (HRQoL) in people with CP, but it cannot be used to generate quality-adjusted life years (QALY) which are the basis of cost utility analysis (CUA). Generic utility instruments (such as the EQ-5D or SF-6D) that are used to value HRQOL may be insensitive to small but important health changes in children with CP. This study aims to generate a preference-based scoring algorithm for the CP six dimensions (CP-6D), a classification system developed from the CPQOL. METHODS AND ANALYSIS: A discrete choice experiment with duration (DCEtto) will be administrated to value health states described by the CP-6D classification system. These health states will be presented to members of Australian general population and parents of children with CP via an online survey. Conditional logit regression will be used to produce the utility algorithm for CP-6D. ETHICS AND DISSEMINATION: The Griffith University Human Research Ethics Committee approved for the study (reference HREC/number 2018/913). The developed algorithm can be applied to previous and future economic evaluation of interventions and treatments targeting people with CP which have used either the CPQOL or CP-6D

Coupled coincidence point theorems for mixed monotone nonlinear operator in partially ordered G-metric spaces

In this paper we present some coupled coincidence and coupled common fixed point theorems for mixed G-monotone mappings in partially ordered G-metric spaces

Plasma homocysteine concentrations in young patients with acute myocardial infarction

INTRODUCTION: Most studies indicate that increased plasma homocysteine level is a risk factor for coronary artery disease. However, data concerning the role of homocysteine in young patients with acute myocardial infarction (AMI) is scanty. The aim of this study was to study the possible association between homocysteine plasma levels and early-onset AMI. METHODS: This case-control study included 83 AMI patients and 83 healthy controls. Biochemical parameters were determined and homocysteine was measured by enzyme immunoassay. Multivariate logistic regression analysis was used to test the association of homocysteine with the occurrence of AMI. RESULTS: Homocysteine concentration in patients with AMI was higher than in controls (19.54±13.3 and 15.54±8.9 µmol/l, respectively, P=0.002). Hyperhomocysteinemia was associated with early myocardial infarction (odds ratio=5.05). Hypercholesterolemia (OR=4/21), opium addiction (OR=4/78) and age (OR=1/24) also had associations with AMI. CONCLUSIONS: Our results showed that homocysteine levels are elevated in young patients with AMI, and hyperhomocysteinemia is associated with early myocardial infarction; hence it should be evaluated in all young patients with AMI. © 2007, Isfahan University of Medical Sciences(IUMS). All rights reserved