A Survey on Knee-Oriented Multiobjective Evolutionary Optimization
Conventional multiobjective optimization algorithms (MOEAs) with or without preferences are successful in solving multi- and many-objective optimization problems. However, a strong hypothesis under…
Merged Differential Grouping for Large-Scale Global Optimization
The divide-and-conquer strategy has been widely used in cooperative co-evolutionary algorithms to deal with large-scale global optimization problems, where a target problem is decomposed into a set…
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (including point cloud semantic segmentation, panoptic segmentation and 3D detection, etc .) often project the point clouds to 2D s…
Measuring Human Perception to Improve Handwritten Document Transcription
In this paper, we consider how to incorporate psychophysical measurements of human visual perception into the loss function of a deep neural network being trained for a recognition task, under the …
View-Aware Geometry-Structure Joint Learning for Single-View 3D Shape Reconst…
Reconstructing a 3D shape from a single-view image using deep learning has become increasingly popular recently. Most existing methods only focus on reconstructing the 3D shape geometry based on im…
Accurate Multiobjective Low-Rank and Sparse Model for Hyperspectral Image Den…
Due to the unavoidable influence of sparse and Gaussian noise during the process of data acquisition, the quality of hyperspectral images (HSIs) is degraded and their applications are greatly limit…
An Optimal Transport Approach for Selecting a Representative Subsample with A…
Subsampling methods aim to select a subsample as a surrogate for the observed sample. Such methods have been used pervasively in large-scale data analytics, active learning, and privacy-preserving …
Pengaruh International Campaign to Abolish Nuclear Weapons pada proses negosi…
Disahkannya Treaty on the prohibition of nuclear weapon (TPNW) pada tahun 2017, merupakan sebuah babak baru dalam upaya pelucutan dan pemusnahan senjata nuklir. Hal ini dikarenakan TPNW merupakan s…
A Practical End-to-End Inventory Management Model with Deep Learning
We investigate a data-driven multiperiod inventory replenishment problem with uncertain demand and vendor lead time (VLT) with accessibility to a large quantity of historical data. Different from t…
Network Functional Varying Coefficient Model
We consider functional responses with network dependence observed for each individual at irregular time points. To model both the interindividual dependence and within-individual dynamic correlatio…
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