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The work proposes to introduce Coiflet discrete wavelet transform (DWT) family, to extract features of microscopic images of hardwood species in order to classify them into 25 different hardwood species. The images are being decomposed into 3 levels using Coiflet DWT family. Overall 48 features are obtained for each of the images with mean, standard deviation, kurtosis and skewness extracted from...
This paper illustrates a novel approach for weld flaw classification incorporating texture feature extraction techniques and measurement of geometrical feature using Artificial Neural Network (ANN) classifier. The radiographic films of weld have been digitized first using digital camera, then these images are converted to gray image and region of interest are selected to reduce the processing time...
We study the temporal behavior of messages arriving in a social network. We specifically study the tweets and re-tweets sent to president Barack Obama on Twitter. We characterize the inter-arrival times between the tweets, the number of re-tweets and the spatial coordinates (latitude, longitude) of the users who sent the tweets. The modeling of the arrival process of tweets in Twitter can be applied...
Practical applications of online handwritten character recognition demand robust and highly accurate recognition along with low memory requirements. The Active-DTW classifier proposed by Sridhar et al.combines the advantages of generative and discriminative classifiers to address the similarity of between-class samples, while taking into account the variability of writing styles within the same character...
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