We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...
Abstract: Recently, multilayer perceptron (MLPs)-based methods in computer vision have attracted much attention due to the ability of learning long-range dependencies. However, MLPs-based methods ...
Abstract: We present in this paper on how we can replace the multipliers with basic operations like shifting and addition in the linear convolution method considering ease of implementation, making it ...
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