In contrast to alternative computer vision based methods, we boost performance by exploiting the embedded and dynamic nature of a mobile robot.
The decoding complexity reduction is commonly achieved by exploiting the orthogonality embedded in the STBC codeword.
To protect smartphones from adversaries, we propose secure re-authentication systems that exploit the embedded sensors of smartphones to achieve accurate authentication performance implicitly, efficiently, and continuously.
In this context, our solution will exploit the embedded feature ranking mechanism of tree-based ensemble methods.
We design an efficient computational engine that is capable of conducting MSAs by exploiting the underlying parallelism embedded in the computational steps of multiple sequence algorithms.
Moreover, by exploiting the logarithmic feature embedded in the discrete structure, we present an enhanced linear reformulation model which requires half an order fewer equations than the original ELDP.
In particular, we showed that the proposed weighted integration methods, by exploiting the different "informativeness" embedded in different gene interaction networks, significantly outperform unweighted integration.
Weighted integration, by exploiting the different "informativeness" embedded in different functional networks, outperforms unweighted integration at 0.01 significance level, according to the Wilcoxon signed rank sum test.
The scheme introduces two methods to explore the high correlations between VQ indices of an index table, followed by exploiting the redundancy elimination for data embedding.
Subsequently, the discretized matrix vector product embedded in the method is efficiently implemented by exploiting the unique property of Kronecker product and the inherent sparsities in augmented system state matrices.
With the second algorithm, both of data embedding and extraction can be performed in the encryption domain by exploiting the self-blinding property, while the corresponding plain-text values are unchanged.
