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Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing
The complex systems with edge computing require a huge amount of multi-feature data to extract appropriate insights for their decision making, so it is important to find a feasible feature selection method to improve the computational efficiency and save the resource consumption.
An Augmented Transformer Architecture for Natural Language Generation Tasks
The Transformer based neural networks have been showing significant advantages on most evaluations of various natural language processing and other sequence-to-sequence tasks due to its inherent architecture based superiorities.
Efficient Likelihood Bayesian Constrained Local Model
The constrained local model (CLM) proposes a paradigm that the locations of a set of local landmark detectors are constrained to lie in a subspace, spanned by a shape point distribution model (PDM).
Cascaded Face Alignment via Intimacy Definition Feature
In this paper, we present a random-forest based fast cascaded regression model for face alignment, via a novel local feature.
