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Scalable variable selection for two-view learning tasks with projection operators
In this paper we propose a novel variable selection method for two-view settings, or for vector-valued supervised learning problems. Our framework is...
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Variable step-size pseudo affine projection algorithm for censored regression
The censored observations of adaptive signal processing have widely occurred in plenty of utility applications. Using traditional adaptive algorithms...
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Bayesian projection pursuit regression
In projection pursuit regression (PPR), a univariate response variable is approximated by the sum of M “ridge functions,” which are flexible...
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Dynamic Graph Learning for Feature Projection
High-dimensional features have gained widespread usage in various research fields such as multimedia computing, data mining, pattern recognition, and...
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Variable selection using axis-aligned random projections for partial least-squares regression
In high-dimensional data modeling, variable selection plays a crucial role in improving predictive accuracy and enhancing model interpretability...
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Constrained reinforcement learning with statewise projection: a control barrier function approach
Safety is a critical issue for reinforcement learning (RL), as it may be risky for some actual applications if the learning process involves unsafe...
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Learning Projection-Based Reduced-Order Models
In this chapter, we introduce the solution space for high-fidelity models based on partial differential equations and the finite element model. The...
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A hybrid projection method for resource-constrained project scheduling problem under uncertainty
Resource constraint project scheduling problem (RCPSP) is one of the most important problems in the scheduling environment. This paper introduces a...
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Higher accuracy self-supervised visual odometry with reliable projection
A complex outdoor environment includes variable illuminations, dynamic objects, and occlusion, making visual odometry in outdoor environments remains...
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Subhedge Projection for Stepwise Hedge Automata
We show how to evaluate stepwise hedge automata (Shas) with subhedge projection. Since this requires passing finite state information top-down, we...
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Grayscale uncertainty and errors of tomographic reconstructions based on projection geometries and projection sets
In certain cases of computed tomography, the projection acquisition process is limited, and thus one cannot gain a sufficient number of projections...
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Multi-sensor multispectral reconstruction framework based on projection and reconstruction
The scarcity and low spatial resolution of hyperspectral images (HSIs) have become a major problem limiting the application of the images. In recent...
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Affine projection algorithm-based exponential hyperbolic cosine for partial discharge denoising in substation
The detection of partial discharge (PD) in the field is critically important for the maintenance of electrical power systems. Traditional methods...
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Complete Multiparty Session Type Projection with Automata
Multiparty session types (MSTs) are a type-based approach to verifying communication protocols. Central to MSTs is a projection operator: a partial...
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Temporal patterns decomposition and Legendre projection for long-term time series forecasting
Long-term time series forecasting (LTSF) means utilizing historical data to forecast future sequences that are relatively distant in time, providing...
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Jointly projection and graph-regularization coupled discriminative dictionary learning for image classification
Analysis synthesis dictionary pair learning methods have achieved good performance in image classification. Due to the redundancy contained in the...
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Mitigating the curse of dimensionality using feature projection techniques on electroencephalography datasets: an empirical review
Electroencephalography (EEG) is commonly employed to diagnose and monitor brain disorders, however, manual analysis is time-consuming. Hence,...
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Residual projection for quantile regression in vertically partitioned big data
Standard regression techniques model only the mean of the response variable. Quantile regression (QR) is more powerful in that it depicts a...
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MPF-Net: multi-projection filtering network for few-shot object detection
Deep learning-based object detection has made tremendous progress in the field of intelligent vision systems. However, one of its major complaints is...
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TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection
We present TOPOMA, a time-series orthogonal projection operator with moving average that can identify anomalous points for multivariate time-series,...