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Toplam kayıt 193, listelenen: 171-180
Spectrum estimation with missing values: A regularized nuclear norm minimization approach
(World Scientific Publ Co Pte LTD, 2016)
In this paper, we consider estimation of a power spectrum from noise corrupted spectrum samples on uniform grids of frequencies with missing values. We propose two schemes based on the regularized nuclear norm minimization ...
Shortest Path Algorithms For Petri Nets
(İstanbul University, Fac Engineering, 2016)
Petri net is a mathematical and graphical tool for modeling and analysing discrete event systems. This paper focuses on a driving Petri net system from a given initial state to a desired state via minimum number of operations, ...
Classifier-based offline feature selection and evaluation for visual tracking of sea-surface and aerial targets
(Spie-Soc Photo-Optical Instrumentation Engineers, 2011)
An offline feature selection and evaluation mechanism is used in order to develop a robust visual tracking scheme for sea-surface and aerial targets. The covariance descriptors, known to constitute an efficient signature ...
Salient point region covariance descriptor for target tracking
(Spie-Soc Photo-Optical Instrumentation Engineers, 2013)
Features extracted at salient points are used to construct a region covariance descriptor (RCD) for target tracking. In the classical approach, the RCD is computed by using the features at each pixel location, which increases ...
On the realization of common matrix classifier using covariance tensors
(Academic Press Inc Elsevier Science, 2015)
Due to the growing interest in image classifiers, the concept of native two dimensional (2-D) classifiers continues to attract researchers in the field of pattern recognition. In most cases, the 2-D extension of a regular ...
A new implementation of common matrix approach using third-order tensors for face recognition
(Pergamon-Elsevier Science LTD, 2011)
In the classical common matrix approach (CMA), the common matrix for each individual face class is obtained using basis matrices calculated by Gram-Schmidt orthogonalization of the class covariance matrix. This common ...
A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network
(Hindawi LTD, 2016)
A new hybrid wind speed prediction approach, which uses fast block least mean square (FBLMS) algorithm and artificial neural network (ANN) method, is proposed. FBLMS is an adaptive algorithm which has reduced complexity ...
Feasible Modified Subgradient Method for Solving the Thermal Unit Commitment Problem as a New Approach
(Hindawi LTD, 2010)
The Lagrangian relaxation- (LR-) based methods are commonly used to solve the thermal unit commitment (UC) problem which is an important subject in power system engineering. The main drawback of this group of methods is ...
Hourly Forecasting of Long Term Electric Energy Demand Using Novel Mathematical Models and Neural Networks
(Icic Int, 2011)
In this work, hourly forecasting of long term electric energy demand is achieved using mathematical models and Artificial Neural Network (ANN) approaches. Previous works regarding energy demand forecasting either treated ...
Content-Based Microscopic Image Retrieval System for Multi-Image Queries
(IEEE-Inst Electrical Electronics Engineers Inc, 2012)
In this paper, we describe the design and development of a multitiered content-based image retrieval (CBIR) system for microscopic images utilizing a reference database that contains images of more than one disease. The ...