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Found 4 papers, 1 papers with code
Sparse Index Tracking: Simultaneous Asset Selection and Capital Allocation via $\ell_0$-Constrained Portfolio
In this paper, we propose a new problem formulation of sparse index tracking using an $\ell_0$-norm constraint that enables easy control of the upper bound on the number of assets in the portfolio.
Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data
We propose a time-varying graph signal recovery method for estimating the true time-varying graph signal from observations that are corrupted by missing values, unknown position outliers, and some random noise.
Pre-training without Natural Images
Is it possible to use convolutional neural networks pre-trained without any natural images to assist natural image understanding?
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
Our main idea is to initialize the network parameters by solving an artificial noise classification problem, where the aim is to classify Perlin noise samples into their noise categories.
