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Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging results in this direction rely on learning context models or the availability of training data. However, this may not be feasible in many application scenarios. Moreover, tracking methods should be able to work across multiple...
This paper presents a new learning algorithm for multitask pattern recognition (MTPR) problems. We consider learning multiple multiclass classification tasks online where no information is ever provided about the task category of a training example. The algorithm thus needs an automated task recognition capability to properly learn the different classification tasks. The learning mode is ldquoonlinerdquo...
While wide-area video surveillance is an important application, it is often not practical, from a technical and social perspective, to have video cameras that completely cover the entire region of interest. For obtaining good surveillance results in a sparse camera networks requires that they be complemented by additional sensors with different modalities, their intelligent assignment in a dynamic...
This paper addresses the impacts of signal slew time and signal skew variations on delay uncertainty and cross talk noise in coupled inductive lines for different switching patterns. Our findings reveal that delay variation in a victim line always increases with the reduction of signal slew time and increase in signal skew. We also observe that cross talk noise reduces with increasing signal skew,...
This paper investigates the impact of signal rise and fall time variations on voltage overshoot and propagation delay in inductive lines for different switching patterns. Equivalent circuit model parameters have been extracted using FastCap and FastHenry field solvers; and results have been obtained by HSpice simulator. Most existing works study the impacts of different switching patterns considering...
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