AIMC Topic: Generalization, Psychological

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Biological convolutions improve DNN robustness to noise and generalisation.

Neural networks : the official journal of the International Neural Network Society Dec 17, 2021
Deep Convolutional Neural Networks (DNNs) have achieved superhuman accuracy on standard image classification benchmarks. Their success has reignited significant interest in their use as models of the primate visual system, bolstered by claims of thei...
Neural Networks, Computer Animals Generalization, Psychological Recognition, Psychology Vision, Ocular Visual Perception
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LIO-CSI: LiDAR inertial odometry with loop closure combined with semantic information.

PloS one Dec 8, 2021
Accurate and reliable state estimation and mapping are the foundation of most autonomous driving systems. In recent years, researchers have focused on pose estimation through geometric feature matching. However, most of the works in the literature as...
Generalization, Psychological Semantic Web Semantics Humans Algorithms Neural Networks, Computer Automobile Driving
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IC neuron: An efficient unit to construct neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2021
As a popular machine learning method, neural networks can be used to solve many complex tasks. Their strong generalization ability comes from the representation ability of the basic neuron models. The most popular neuron model is the McCulloch-Pitts ...
Neurons Generalization, Psychological Neural Networks, Computer
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TGAN: A simple model update strategy for visual tracking via template-guidance attention network.

Neural networks : the official journal of the International Neural Network Society Aug 16, 2021
Visual attention has been widely used in various fields of visual tasks in recent years. Recently, visual trackers based on probabilistic discriminative model prediction (PrDiMP) and Siamese box adaptive network (SiamBAN) have attracted much attentio...
Image Processing, Computer-Assisted Perception Generalization, Psychological Neural Networks, Computer
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Neural state space alignment for magnitude generalization in humans and recurrent networks.

Neuron Feb 23, 2021
A prerequisite for intelligent behavior is to understand how stimuli are related and to generalize this knowledge across contexts. Generalization can be challenging when relational patterns are shared across contexts but exist on different physical s...
Young Adult Adult Brain Female Electroencephalography Psychomotor Performance Male Models, Neurological Humans Neural Networks, Computer Machine Learning Algorithms Size Perception Generalization, Psychological Transfer, Psychology
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Why ResNet Works? Residuals Generalize.

IEEE transactions on neural networks and learning systems Nov 30, 2020
Residual connections significantly boost the performance of deep neural networks. However, few theoretical results address the influence of residuals on the hypothesis complexity and the generalization ability of deep neural networks. This article st...
Deep Learning Neural Networks, Computer Generalization, Psychological Algorithms
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A Hybrid Method Based on Extreme Learning Machine and Self Organizing Map for Pattern Classification.

Computational intelligence and neuroscience Aug 25, 2020
Extreme learning machine is a fast learning algorithm for single hidden layer feedforward neural network. However, an improper number of hidden neurons and random parameters have a great effect on the performance of the extreme learning machine. In o...
Neural Networks, Computer Generalization, Psychological Algorithms Neurons
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Causal importance of low-level feature selectivity for generalization in image recognition.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2020
Although our brain and deep neural networks (DNNs) can perform high-level sensory-perception tasks, such as image or speech recognition, the inner mechanism of these hierarchical information-processing systems is poorly understood in both neuroscienc...
Photic Stimulation Visual Perception Generalization, Psychological Recognition, Psychology Brain Pattern Recognition, Automated Neural Networks, Computer Humans
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A fast kernel extreme learning machine based on conjugate gradient.

Network (Bristol, England) Jan 27, 2019
Kernel extreme learning machine (KELM) introduces kernel leaning into extreme learning machine (ELM) in order to improve the generalization ability and stability. But the Penalty parameter in KELM is randomly set and it has a strong impact on the per...
Algorithms Models, Theoretical Generalization, Psychological Humans Neural Networks, Computer Machine Learning
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Generalization Bounds for Coregularized Multiple Kernel Learning.

Computational intelligence and neuroscience Nov 1, 2018
Multiple kernel learning (MKL) as an approach to automated kernel selection plays an important role in machine learning. Some learning theories have been built to analyze the generalization of multiple kernel learning. However, less work has been stu...
Generalization, Psychological Algorithms Humans Supervised Machine Learning
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