Search Results - (( frames prediction using algorithm ) OR ( java application mining algorithm ))
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1
Direct approach for mining association rules from structured XML data
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An improved method in speech signal input representation based on DTW technique for NN speech recognition system
Published 2007“…Another task of the study is to extract pitch features using the Harmonic Filter algorithm. After pitch extraction and linear predictive coefficient (LPC) features fixed to a desired number of frames, speech recognition using neural network can be performed and results showed a very promising solution. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Parallel Kalman filter-based multi-human tracking in surveillance video
Published 2014“…A Kalman filter is a recursive algorithm which predict the state variables and further uses the observed data to correct the predicted value. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Time normalization of LPC feature using warping method
Published 2005“…Another task is to align the input frames (test set) to the reference template (training set) using DTW fixing frame (DTW-FF) algorithm. …”
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DTWFF-pitch feature and faster neural network convergence for speech recognition
Published 2007“…The first task is to extract pitch features using Pitch Scale Harmonic Filter algorithm. Another task is to align the input frames (test set) to the reference template (training set) using DTW fixing frame (DTW-FF) algorithm. …”
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10
Investigation of block matching algorithm for video coding
Published 2013“…These techniques have been used to analyze the video frames quality with different Macroblock size and different sequence of I and P frame and also with different search ranges of block prediction. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
12
Accurate Real-TIme Object Tracking with Linear Prediction Method
Published 2003“…Using a second order of the linear prediction method, the proposed algorithm is able to accurately track the moving object. …”
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A proposed frame work for real time epileptic seizure prediction using scalp EEG
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Real-Time Implementation Of LPC-10 Codec On TMS320C6713 DSP
Published 2012“…One of these speech coding algorithms is linear predictive coding (LPC-10). This thesis implements LPC-10 analysis and synthesis using Matlab and C coding. …”
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15
CNN-SVO: improving the mapping in semi-direct visual odometry using single-image depth prediction
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Integration of projection histograms and linear prediction for object tracking
Published 2003“…The Projection Histograms technique is applied to obtain the actual location of the tracked target, whereas the Linear Prediction method is incorporated in the proposed tracking algorithm to predict the location of the moving object in the next frame based on its several past centroid measurements. …”
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Multiple description coding for streoscopic 3D
Published 2009“…In the literature, MDC has previously been applied in 2D video but not so much in 3D video. The proposed algorithm enhances the error resilience of the 3D video using the combination of even and odd frame based MDC while retaining good temporal prediction efficiency for video over error-prone networks. …”
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A Proposed Frame Work for Real Time Epileptic Seizure Prediction using Scalp EEG
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A survey on 2d object tracking in digital video
Published 2009“…The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends.It is often the case that tracking objects in consecutive frames is supported by a prediction scheme. Based on information extracted from previous frames and any high level information that can be obtained, the state (location) of the object is predicted.An excellent framework for prediction is kalman filter, which additionally estimates prediction error.In complex scenes, instead of single hypothesis, multiple hypotheses using Particle filter can be used.Different techniques are given for different types of constraints in video.…”
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20
Development of finite element model for soil-structure interaction
Published 2014“…Therefore,ANN can be used as a powerful tool for prediction of ultimate bearing capacity of layered soil. …”
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