نتایج جستجو برای: spatial synoptic classification ssc

تعداد نتایج: 838814  

Journal: :IEICE Transactions 2010
Vo Nguyen Quoc Bao Hyung Yun Kong

Switch and stay combining (SSC) is an attractive diversity technique due to its low complexity and compatibility to resourceconstrained wireless networks. This letter proposes a distributed SSC for partial relay selection networks in order to achieve spatial diversity as well as to improve spectral efficiency. Simulation results show that the performance loss (in terms of bit error probability)...

Journal: :CoRR 2015
Stephen Tierney Yi Guo Junbin Gao

We propose Ordered Subspace Clustering (OSC) to segment data drawn from a sequentially ordered union of subspaces. Similar to Sparse Subspace Clustering (SSC) we formulate the problem as one of finding a sparse representation but include an additional penalty term to take care of sequential data. We test our method on data drawn from infrared hyper spectral, video and motion capture data. Exper...

Journal: :Marine pollution bulletin 2013
Rachael K Macdonald Peter V Ridd James C Whinney Piers Larcombe David T Neil

Water turbidity and suspended sediment concentration (SSC) are commonly used as part of marine monitoring and water quality plans. Current management plans utilise threshold SSC values derived from mean-annual turbidity concentrations. Little published work documents typical ranges of turbidity for reefs within open coastal waters. Here, time-series turbidity measurements from 61 sites in the G...

2014
Ewa Wielosz Magdalena Dryglewska Maria Majdan

87 (68 female and 19 male) consecutive SSc patients treated between 2006 and 2011 were assessed. Patients fulfilled the American College of Rheumatology classification criteria of SSc: 35 – dcSSc and 52 – lcSSc. The following marker antibodies were determined: anti-topo I, anti-centromere A and B (CENP A, CENP B), anti-RNA polymerase III (RP11, RP 155), anti-fibrillarin (U3RNP), anti-NOR90, ant...

2011
Dong-Yan Huang Shuzhi Sam Ge Zhengchen Zhang

This paper describes a Speaker State Classification System (SSCS) for the INTERSPEECH 2011 Speaker State Challenge. Our SSC system for the Intoxication and Sleepiness SubChallenges uses fusion of several individual sub-systems. We make use of three standard feature sets per corpus given by organizers. Modeling is based on our own developed classification method Asymmetric simple partial least s...

Journal: :Reumatismo 2015
T Borges J Vilaça S Ferreira I Chora S Silva C Dias

Systemic sclerosis (SSc) sine scleroderma (ssSSc) is characterized by the absence of skin involvement, despite other manifestations of systemic sclerosis are present. It is not known whether sSSc represents a forme fruste of limited cutaneous SSc or a distinct entity, but the 2013 American College of Rheumatology/European League Against Rheumatism criteria for the classification of SSc have con...

Journal: :رادار 0
اکبر درگاهی یاسر مقصودی علی اکبر آبکار

in this paper, an unsupervised classification method using spatial contextual information for polarimetric sar (polsar) image classification is proposed. first, an unsupervised classification based on 2d h/▁α plane was performed, using cloude/pottier target decomposition algorithm. in order to compute the initial values of the cluster centers and hence a rapid convergence of the algorithm, the ...

2011
Tanja A Stamm Malin Mattsson Carina Mihai Juliane Stöcker Alexa Binder Bettina Bauernfeind Georg Stummvoll Gunvor Gard Roger Hesselstrand Gunnel Sandqvist Oana Draghicescu Ana Maria Gherghe Malina Voicu Klaus P Machold Oliver Distler Josef S Smolen Carina Boström

OBJECTIVE To describe the experiences of people with systemic sclerosis (SSc) in different European countries of functioning and health and to link these experiences to the WHO International Classification of Functioning, Disability and Health (ICF) to develop a common understanding from a bio-psycho-social perspective. METHOD A qualitative multicentre study with focus-group interviews was pe...

Knowing of precipitation values in different regions is always of main and strategic issues of human which has important role in short- term and long-term decisions. In order to determine of precipitation model and forecasting it, there are different models, but given that the precipitation data have a spatial autocorrelation, the spatial statistic is a powerful tool to recognition of spatial b...

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