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In this research, we apply clustering techniques to the malware classification problem. We compute clusters using the well-known K-means and Expectation Maximization algorithms, with the underlying scores based on Hidden Markov Models. We compare the results obtained from these two clustering approaches and we carefully consider the interplay between the dimension (i.e., number of models used for...
The thought of taking a perfect image gives way to a plethora of ideas which work towards improving the image quality using Image Stabilization. Currently, the methods used for Optical Image Stabilization(OIS) use Motion sensors and detect vibration and correct for any jitter using VCM (Voice coil motors).The concept of the proposed work is to simulate a MEMS gyroscope and monitor the system to detect...
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