Abstract Combinatorial optimization has many greedy algorithms. Using the stochastic based greedy algorithm, we have studied the online learning issues. Primarily, we compared the quasi- greedy regret as a metric for learning and equated with the offline greedy algorithms. Multi-armed bandit based pure exploration at each level of greedy learning is used to develop the two step online greedy algorithm with... Combinatorial optimization has many greedy algorithms. Using the stochastic based greedy algorithm, we have studied the online learning issues. Primarily, we compared the quasi- greedy regret as a metric for learning and equated with the offline greedy algorithms. Multi-armed bandit based pure exploration at each level of greedy learning is used to develop the two step online greedy algorithm with semi-bandit feed backs. This process works out for regret metrics well. The use of general class of combinatorial structures and reward function permit greedy solutions. We have tested the procedures with the parameters of other problems. Read More Read Less

Abstract Using feature detection and image processing, we have developed an objection algorithm for the use in FPGA. The presentation of image the process of objection detection is carried out. To test it we have developed a software that yielded an algorithm using the MATLAB where the outcome is assessed.... Using feature detection and image processing, we have developed an objection algorithm for the use in FPGA. The presentation of image the process of objection detection is carried out. To test it we have developed a software that yielded an algorithm using the MATLAB where the outcome is assessed. Read More Read Less

Abstract We have outlined the presence of a manipulator with the help of the monocular camera with the position detection of industrial objects. We have used the circular Hough transform for creating the algorithm. We have explained the camera manipulator configuration for the end filter to get the position of the object.... We have outlined the presence of a manipulator with the help of the monocular camera with the position detection of industrial objects. We have used the circular Hough transform for creating the algorithm. We have explained the camera manipulator configuration for the end filter to get the position of the object. Read More Read Less