Tarun Prabhu

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A linear programming formulation of the optimal stopping problem for Markov decision processes is approximated using linear function approximation. Using this formulation, a reinforcement learning scheme based on a primal-dual method and incorporating a sampling device called ‘split sampling’ is proposed and analyzed. An illustrative example from option(More)
We present a small-step abstract interpretation for the A-Normal Form λ-calculus (ANF). This abstraction has been instrumented to find data-dependence conflicts for expressions and procedures. Our goal is parallelization: when two expressions have no dependence conflicts, it is safe to evaluate them in parallel. The underlying principle for discovering(More)
A Wireless Multimedia Sensor Network (WMSN) is often partitioned into a set of spatial clusters to save energy for data collection. Each cluster includes sensor nodes with similar sensing data, and only a few sensor nodes (samplers) report their sensing data to a base node. Then the base node may predict the missed data of nonsamplers using the spatial(More)
Image intensification plays an important role in image processing and analysis. In this paper, an efficient image intensification method is proposed. In order to sustain and enhance image while enhancing relative pixel details, we propose an algorithm unreliable radiant and low contrast images. The proposed algorithm consists of three phases: Firstly, a(More)
In wireless multimedia sensor networks coverage area and redundant sensor are a major problem thus throughput is minimum and more delay .In order to optimize the network coverage, use a coverage-enhancing algorithm based on overlap-sense ratio. By adjusting the sensing directions of the nodes, the coverage area is increased with the reduction of complexity.(More)
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