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In this paper, we propose an alternative method to estimate room layouts of cluttered indoor scenes. This method enjoys the benefits of two novel techniques. The first one is semantic transfer (ST), which is: (1) a formulation to integrate the relationship between scene clutter and room layout into convolutional neural networks, (2) an architecture that can be end-to-end trained, (3) a practical strategy...
In this paper, a maximum a posterior (MAP) based channel estimation algorithm is proposed to estimate both the temporal and spatial domain channel parameters for single-input multiple-output (SIMO) systems transmitting over an extended Saleh-Valenzuela (SV) channel. The proposed algorithm leverages on prior knowledge of the statistical distributions of signal clusters and rays within a cluster, and...
Higher-order Singular Value Decomposition (HOSVD) for tensor decomposition is widely used in multi-variate data analysis, and has shown applications in several areas in computer vision in the last decade. Conventional multi-linear assumption in HOSVD is not translation invariant — translation in different tensor modes can yield different decomposition results. The translation is difficult to remove...
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