Results 61 to 70 of about 3,228,583 (292)
Unsupervised Symbolic Anomaly Detection
We propose SYRAN, an unsupervised anomaly detection method based on symbolic regression. Instead of encoding normal patterns in an opaque, high-dimensional model, our method learns an ensemble of human-readable equations that describe symbolic invariants: functions that are approximately constant on normal data.
Md Maruf Hossain +3 more
openaire +2 more sources
A Hybrid Approach to Detect Graphical Symbols in Documents [PDF]
, 2004 We propose to combine a feature descriptor method with a structural representation of symbols. An adaptation of the Radon transform, keeping main geometric transformations usually required for the recognition of symbols, is provided. In order to improve the recognition step we directly process on the grey level document.
Tabbone, Salvatore +2 more
openaire +2 more sources
Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi +8 more
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2010 We proposed a novel Viterbi-based algorithm using jiggling substates for joint data sequence detection, symbol boundary self-calibration, and signal frame synchronization for the EPC-Global Gen-2 system.
Jiunn-Tsair Chen, Yung-Yi Wang
doaj +2 more sources
Min-Sum Soft Symbol Estimation for Iterative MMSE Detection
IEEE Access, 2020 Soft symbol estimation (SSE) is the first process in soft interference cancellation minimum mean squared error (SIC-MMSE) detection for multiple-input multiple-output (MIMO) systems.
Satya Chan, Sooyoung Kim
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini +12 more
wiley +1 more source
Symbolic Privacy Analysis through Linkability and Detectability [PDF]
, 2013 More and more personal information is exchanged on-line using communication protocols. This makes it increasingly important that such protocols satisfy privacy by data minimisation. Formal methods have been used to verify privacy properties of protocols; but so far, mostly in an ad-hoc way.
Meilof Veeningen +2 more
openaire +4 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab +19 more
wiley +1 more source
Applied Sciences, 2019 Even today, the automatic digitisation of scanned documents in general, but especially the automatic optical music recognition (OMR) of historical manuscripts, still remains an enormous challenge, since both handwritten musical symbols and text have to ...
Christoph Wick +2 more
doaj +1 more source
, 2008 —We consider beamforming assisted detection for multiple antenna aided multiuser systems that employ the bandwidth efficient quadrature amplitude modulation scheme.
Chen, Sheng +3 more
core +1 more source