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In response to the growing trend towards end-to-end learning, we propose a novel framework advancing towards an end-to-end multi-camera multi-object tracking (MC-MOT) solution that addresses challenges like occlusions, viewpoint variations, and illuminatio ...
We leverage the recent algorithmic advances in compressive sensing, and propose a novel source separation algorithm for efficient recovery of convolutive speech mixtures in spectro-temporal domain. Compared to the common sparse component analysis technique ...
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Systematic compositionality, or the ability to adapt to novel situations by creating a mental model of the world using reusable pieces of knowledge, remains a significant challenge in machine learning. While there has been considerable progress in the lang ...
We leverage the recent algorithmic advances in compressive sensing, and propose a novel source separation algorithm for efficient recovery of convolutive speech mixtures in spectro-temporal domain. Compared to the common sparse component analysis technique ...
The paper presents a block cipher which offers a good encryption rate on any platform. It is particularly optimized for hardware implementation where the expected rate is several Gbps on a small dedicated chip working at 30 MHz. Its design combines up to d ...
We develop rigorous alternating direction optimization methods for a prototype constrained convex optimization template, which has broad applications in computational sciences. We build upon our earlier work on the model-based gap reduction (MGR) technique ...
In this study, the in vivo degradation of metal-on-metal (MoM) artificial hip joints was assessed based on the present state of the art concepts of tribocorrosion. A recently developed tribocorrosion model, based on the combination of mechanical and corros ...
We leverage the recent algorithmic advances in compressive sensing, and propose a novel source separation algorithm for efficient recovery of convolutive speech mixtures in spectro-temporal domain. Compared to the common sparse component analysis technique ...
In this work, we present a novel way of computing the continuous Haar, Fourier and cosine series coefficients of rectilinear polygons. We derive algorithms to compute the inner products with the continuous basis functions directly from the vertices of the ...
