A New Approach to Determine Three-Dimensional Facial Landmarks

Pabiasz, Sebastian; Starczewski, Janusz T.

doi:10.1007/978-3-642-38610-7_27

Cited by 7 publications

(1 citation statement)

References 18 publications

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“…The promising approach to the learning problem which should be considered is using various types of computational intelligence systems [2,11,12,13,16,17,18,19,20,27,41,43,44] including neural networks, in particular convolutional neural networks [28]. Such systems and their parallel implementation on Intel MIC architecture can be useful in many applications, such as face recognition [33,34,35,36].…”

Section: Discussionmentioning

confidence: 99%

Adaptation of RBM Learning for Intel MIC Architecture

Olas

Mleczko

Nowicki

et al. 2015

Artificial Intelligence and Soft Computing

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Abstract. In the paper, the parallel realization of the Boltzmann Restricted Machine (RBM) is proposed. The implementation intends to use multicore architectures of modern CPUs and Intel Xeon Phi coprocessor. The learning procedure is based on the matrix description of RBM, where the learning samples are grouped into packages, and represented as matrices. The influence of the package size on convergence of learning, as well as on performance of computation, are studied for various number of threads, using conventional CPU and Intel Phi architecures. Our research confirms a potential usefulness of MIC parallel architecture for implementation of RBM and similar algorithms.

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