Design of a Power Optimal Reversible FIR Filter for Speech Signal Processing Abstract: In this paper, an efficient architecture of FIR filter structure is presented. For achieving low power, reversible logic mode of operation is implemented in the design. Area overhead is the tradeoff in the proposed design. From the synthesis results, the proposed low power […]
Robust Visual Tracking via Convolutional Networks without Training Abstract Deep networks have been successfully applied to visual tracking by learning a generic representation offline from numerous training images. However, the offline training is time-consuming and the learned generic representation may be less discriminative for tracking specific objects. In this paper, we present that, even without offline training with a large amount of auxiliary data, simple two-layerconvolutional networks can be powerful enough to […]