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We examine an under-explored visual recognition problem, where we have a main view along with an auxiliary view of visual information present in the training data, but merely the main view is available in the test data. To effectively leverage the auxiliary view to train a stronger classifier, we propose a collaborative auxiliary learning framework based on(More)
This paper presents a series of user parameter-free iterative Sparse Asymptotic Minimum Variance (SAMV) approaches for array processing applications based on the asymptotically minimum variance (AMV) criterion. With the assumption of abundant snapshots in the direction-of-arrival (DOA) estimation problem, the signal powers and noise variance are jointly(More)
Particle Swarm Optimization (PSO) is a new paradigm of Swarm Intelligence which proposes that the co-operation of individuals promotes the evolution of the swarm. Recently, a modified Particle Swarm Optimizer (MLPSO) has been succeeded in solving truss topological optimization problems with continuous design variable and competitive results were obtained.(More)
  • Dongshuai Li, Mohammad Azadifar, +5 authors Zhenhui Wang
  • 2016
—In this paper, we present a theoretical analysis of the propagation effects of lightning electromagnetic fields over a mountainous terrain. The analysis is supported by experimental observations consisting of simultaneous records of lightning currents and electric fields associated with upward negative lightning flashes to the instrumented Säntis tower in(More)
TO THE EDITOR Psoriasis is a common, chronic, inflam-matory, organ-specific autoimmune skin disease with a complex genetic background (Nestle et al., 2009; Zhang et al., 2013). Psoriasis vulgaris (PsV) is the most common type, accounting for approximately 85–90% of all psoriasis patients, and characterized by raised, well-demarcated, erythematous oval(More)
as a comparatively new developed stochastic method particle swarm optimization (PSO), it is widely applied to various kinds of optimization problems especially of nonlinear, non-differentiable or non-convex types. In this paper, a modified guaranteed converged particle swarm algorithm (MGCPSO) is proposed in this paper, which is inspired by guaranteed(More)
BACKGROUND Interleukin 17 (IL-17) is a proinflammatory cytokine produced by a new subset of activated CD4+ T cells, Th17 cells. We previously showed that increased Th17 cell populations were presented in human medulloblastoma-infiltrating T cells and peripheral blood. In this study, we attempted to address the possible role of Th17 cells in the biologic(More)
Modern lager span structures calls for modular automatic, reinforced with manual instruments, structural health monitoring instruments and WAN&LAN monitoring software from which monitoring data query, analysis and assessment can be done at the same time. In this paper, wireless stress and strain measurement facility for steel structure, cable tensile(More)
INTRODUCTION It is a common view that consistency and blood supply of pituitary adenoma (PA) can influence the surgical effect. The aim of this study was to determine whether MRI signal intensity (SI) was correlated to the consistency or blood supply of pituitary macroadenoma. METHODS Forty eight pituitary macroadenoma patients were underwent preoperative(More)