Results 31 to 40 of about 136,474,496 (243)
Maximum a posteriori based regularization parameter selection [PDF]
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 The l 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still an unsolved problem, especially when the number of nonzero elements is unknown.
Ashkan Panahi, Mats Viberg
openaire +1 more source
Remote Sensing, 2021 Air temperature is an important physical indicator for urban and architectural environments; however, it is difficult to obtain its distributive characteristics by field measurements owing to the limitations of current measuring instruments.
Ryuta Tsurumi +2 more
doaj +1 more source
Combining vocal tract length normalization with hierarchial linear transformations [PDF]
, 2012 Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis.
Dines, John +11 more
core +2 more sources
Channel compensation of speaker identification based on maximum a posteriori
Tongxin xuebao, 2009 To solve the effect of channel changes on the performance of speaker identification system , apply the method of maximum a posteriori to specific channel compensation.First, setup a standard channel, then, use the distribution of deviation of other ...
GAO Rong-chun, HAN Ji-qing, ZHANG Lei
doaj +2 more sources
Computer Assisted Surgery, 2017 Background and objective: Image segmentation is a preliminary and fundamental step in computer aided magnetic resonance imaging (MRI) images analysis. But the performance of most current image segmentation methods is easily depreciated by noise in MRI ...
Mingsheng Chen +2 more
doaj +1 more source
SAFS: Object Tracking Algorithm Based on Self-Adaptive Feature Selection
Sensors, 2021 Object tracking is one of the most challenging problems in the field of computer vision. In challenging object tracking scenarios such as illumination variation, occlusion, motion blur and fast motion, existing algorithms can present decreased ...
Wenhua Guo +4 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua +4 more
wiley +1 more source
Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography
Advanced Functional Materials, EarlyView.In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep +4 more
wiley +1 more source
Multibaseline Gradient Ambiguity Resolution To Support Minimum Cost Flow Phase Unwrapping [PDF]
, 2010 The TanDEM-X Mission has as primary objective to generate a high resolution global Digital Elevation Model. This paper proposes a new method for multibaseline Phase Unwrapping which is the critical point of this generation.
Marie Lachaise +5 more
core +1 more source
Advanced Science, EarlyView.A copper‐iron charge transfer instability drives concomitant electronic, magnetic, and isostructural phase transitions in ACu3Fe4O12${\rm ACu}_3{\rm Fe}_4{\rm O}_{12}$, with an inverse barocaloric effect. A minimal Landau theory ties these thermodynamic signatures together, revealing a pressure‐independent transition entropy with comparable charge and ...
Jefferson Delgado‐Quesada +1 more
wiley +1 more source