Titlebook: Advances in Signal Processing and Intelligent Recognition Systems; 6th International Sy Sabu M. Thampi,Sri Krishnan,Jagadeesh Kannan R. Con

PTCA635

Fast Termination and?Workflow Netsnteraction). A recognizer uses the acoustic model to define rules for mapping sound signals to phonemes. This article brings out a combined method of applying Maximum Likelihood Linear Regression (MLLR) and Maximum A Posteriori (MAP) techniques to the acoustic model of a generic speech recognizer, s

acclimate

Monitoring Atomicity in Concurrent Programslevant and active area of research. Most modern recommendation systems utilize a combination of one or more techniques. Collaborative filtering and content-based recommendation are popularly used techniques. The former works well on large datasets but suffers from the well documented cold start prob

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Maximiliano Cristiá,Gianfranco Rossive been proposed, with the U-Net currently the most popular in the field of medical image segmentation. This paper investigates different optimizers to a published long-short term memory (LSTM)-UNet to find the most efficient optimizer for this approach when applied to a dataset of simulated nuclei

Initial

Tobias Klenze,Sam Bayless,Alan J. Hu fields. But the processing of the UAV data to generate the parcel boundary information needs lengthy image processing tasks. This has created a demand to generate the parcel boundaries fast and in an automated way. This paper discusses the techniques to extract the field boundaries using the Deep L

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Minh-Thai Trinh,Duc-Hiep Chu,Joxan Jaffaration have been prominent areas of research, since the release of such datasets..In this work, an attempt has been made to come up with a neural network with a limited number of parameters, with a goal of classifying chest X-rays of pneumonia from healthy patients. The intended applications would be

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Chih-Hong Cheng,Yassine Hamza,Harald Ruessn biometric research focus on removing the distance constraint faced while capturing the biometric images. Easing such restraints results in further challenges in the form of resolution drop and quality degradation. Furthermore, the use of improved technologies like that of image cameras and lenses

PAEAN

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https://doi.org/10.1007/978-3-642-02658-4operties and functions of complex networks, community detection plays a crucial role. Community detection is generally categorized as an optimization problem, and due to its inherent property it can’t be solved by the traditional optimization method, and over the past few decades, various algorithms

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