Results 241 to 250 of about 584,670 (289)
Some of the next articles are maybe not open access.
Weighted MLS-SVM for approximation of directional derivatives
SPIE Proceedings, 2005Based on statistical learning theory, support vector machine (SVM) is a novel type of learning machine, and it contains polynomial, neural network and radial basis function (RBF) as special cases. The mapped least squares support vector machine (MLS-SVM) is a special least square SVM (LS-SVM), which extends the application of the SVM to the image ...
Sheng Zheng, Jin Wen Tian, Jian Liu
exaly +2 more sources
The application of interpolating MLS approximations to the analysis of MHD flows
Finite Elements in Analysis and Design, 2003The element-free Galerkin method (EFGM) is a very attractive technique for solutions of partial differential equations, since it makes use of nodal point configurations which do not require a mesh. Therefore, it differs from FEM-like approaches by avoiding the need of meshing, a very demanding task for complicated geometry problems.
Shiyou Yang, Jose Marcio Machado
exaly +3 more sources
Finding ridges and valleys in a discrete surface using a modified MLS approximation
CAD Computer Aided Design, 2005Implicit surface fitting is a promising approach to finding ridges and valleys in discrete surfaces, but existing techniques are time-consuming and rely on user-supplied tuning parameters. We use a modified MLS (moving-least-squares) approximation technique to estimate the local differential information near a vertex by means of an approximating ...
Soo-Kyun Kim
exaly +2 more sources
Numerical Experiments for Approximate MLS Approximation
Interdisciplinary Mathematical Sciences, 2007exaly +2 more sources
Proceedings of the 26th Asia and South Pacific Design Automation Conference, 2021
In this paper, we present our state-of-the-art approximate techniques that cover the main pillars of approximate computing research. Our analysis considers both static and reconfigurable approximation techniques as well as operation-specific approximate components (e.g., multipliers) and generalized approximate high-level synthesis approaches.
Georgios Zervakis 0001 +5 more
openaire +3 more sources
In this paper, we present our state-of-the-art approximate techniques that cover the main pillars of approximate computing research. Our analysis considers both static and reconfigurable approximation techniques as well as operation-specific approximate components (e.g., multipliers) and generalized approximate high-level synthesis approaches.
Georgios Zervakis 0001 +5 more
openaire +3 more sources
Approximations to joint-ML and ML symbol-channel estimators in MUD CDMA
Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE, 2003In this contribution we conceptually derive two symbol-channel estimators, the joint-ML and the ML, both having exponential complexity. Pragmatically we derive three approximations with polynomial complexity, one to the joint-ML: the pseudo-joint-ML; two to the ML: the naive-ML and the linear-response-ML. We assess the resulting average bit error rates
Thomas Fabricius, Ole Nørklit
openaire +2 more sources
A Novel Approximation of NDA ML Estimation for UWB Channels
IEEE Transactions on Communications, 2010Novel non-data-aided near-maximum-likelihood estimators for the delays and the attenuations in an ultra-wide bandwidth channel are proposed by using an approximation to the maximum likelihood equation. Numerical results show that these new estimators outperform previous approximate non-data-aided maximum likelihood channel estimators reported in the ...
Yunfei Chen 0001, Norman C. Beaulieu
openaire +2 more sources
Approximate ML detection for MIMO systems with very low complexity
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004Recently many space-time coding schemes for multiple antenna systems (MIMO) have been proposed in order to achieve high data rates when transmitting over wireless channels. However, most of such schemes rely on maximum likelihood (ML) detection, which can become quite complex when many antennas are involved and higher modulation schemes are utilized ...
Markus Rupp +2 more
openaire +2 more sources
Design of Majority Logic (ML) Based Approximate Full Adders
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018As a new paradigm in the nanoscale technologies, approximate computing enables error tolerance in the computational process; it has also emerged as a low power design methodology for arithmetic circuits. Majority logic (ML) is applicable to many emerging technologies and its basic building block (the 3-input majority voter) has been extensively used in
Tingting Zhang +4 more
openaire +3 more sources