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We present a method for foreground segmentation of yeast cells in the presence of high-noise induced by intentional low illumination, where traditional approaches (e.g., threshold-based methods, specialized cell-segmentation methods) fail. To deal with these harsh conditions, we use a fully-convolutional semantic segmentation network based on the SegNet architecture. Our model is capable of segmenting...
Dynamic time warping (DTW) measures similarity between two data sequences by minimizing an accumulated distance between two sequence samples at each iteration and a cost is computed to assess the level of the similarity. The DTW cost may then be used to assign a sequence to a class if the problem is a classification problem. In machine learning, classification problems are solved using features with...
With the ever increasing rate of digital information available from online sources, information has gone from being scarce to being abundant. Big data analytics require low complexity and distributed computing techniques. We propose the use of randomized decision trees and their ensemble in the form of a forest for unsupervised learning. Random probing of good attributes reduces the computational...
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