In this paper, we develop a novel method for camera calibration and correction. The novel method first employs a rigidity constraint from the rigid rotation matrix and the radial alignment constraint from the pin-hole camera model to estimate both camera intrinsic and extrinsic parameters with a closed-form solution without considering the camera distortion. Then the well-known Levernburg-Marqu...

In this paper a modification on Levenberg-Marquardt algorithm for MLP neural network learning is proposed. The proposed algorithm has good convergence. This method reduces the amount of oscillation in learning procedure. An example is given to show usefulness of this method. Finally a simulation verifies the results of proposed method. Keywords—Levenberg-Marquardt, modification, neural network,...

As the Canadian Institutes of Health Research (CIHR) leads in designing and implementing the new Health System Impact (HSI) Fellowship program, we congratulate Sim et al for their thoughtful contribution to the nascent literature on embedded research, and for advancing our own learning about the HSI Fellowship experience. In our commentary, we describe the HSI Fellowship and its key components,...

Although mentoring has been regarded as an essential componentin the developmental phase of medical students, it is the nature ofhierarchical relationship and the quality of emotional exchangewhich determine its sustainability. With great enthusiasm, wehad launched our mentoring program for the new entrants of ourmedical school. After an initial faculty development...

The increase in number of cancer is detected throughout the world. This leads to the requirement of developing a new technique which can detect the occurrence the cancer. This will help in better diagnosis in order to reduce the cancer patients. This paper aim at finding the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised ...

The Levenberg-Marquardt (LM) minimization algorithm commonly employed in MOSFET model parameter extraction has several known deficiencies, such as poor convergence characteristics without a good initial guess, low likelihood of convergence to the globally optimal solution, and difficulty with simultaneous multiobjective optimizations. Furthermore, conventional tools require an expert user with ...