AIMC Topic: Learning

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Learning to Reason on Tree Structures for Knowledge-Based Visual Question Answering.

Sensors (Basel, Switzerland) Feb 17, 2022
Collaborative reasoning for knowledge-based visual question answering is challenging but vital and efficient in understanding the features of the images and questions. While previous methods jointly fuse all kinds of features by attention mechanism o...
Neural Networks, Computer Problem Solving Semantics Knowledge Bases Learning
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Employing automatic content recognition for teaching methodology analysis in classroom videos.

PloS one Feb 17, 2022
A teacher plays a pivotal role in grooming a society and paves way for its social and economic developments. Teaching is a dynamic role and demands continuous adaptation. A teacher adopts teaching techniques suitable for a certain discipline and a si...
Teaching Neural Networks, Computer Students Pattern Recognition, Visual Videotape Recording Interpersonal Relations Learning Employment Deep Learning Humans
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Flexible Neural Network Realized by the Probabilistic SiO Memristive Synaptic Array for Energy-Efficient Image Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 16, 2022
The human brain's neural networks are sparsely connected via tunable and probabilistic synapses, which may be essential for performing energy-efficient cognitive and intellectual functions. In this sense, the implementation of a flexible neural netwo...
Learning Synapses Algorithms Physical Phenomena Neural Networks, Computer Humans
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Weak Disambiguation for Partial Structured Output Learning.

IEEE transactions on cybernetics Feb 16, 2022
Existing disambiguation strategies for partial structured output learning just cannot generalize well to solve the problem that there are some candidates that can be false positive or similar to the ground-truth label. In this article, we propose a n...
Natural Language Processing Learning Algorithms
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Transfer Learning Under Conditional Shift Based on Fuzzy Residual.

IEEE transactions on cybernetics Feb 16, 2022
Transfer learning has received much attention recently and has been proven to be effective in a wide range of applications, whereas studies on regression problems are still scarce. In this article, we focus on the transfer learning problem for regres...
Machine Learning Learning
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Distributed Information-Theoretic Semisupervised Learning for Multilabel Classification.

IEEE transactions on cybernetics Feb 16, 2022
Multilabel classification (MLC) has received much attention recently. The existing MLC algorithms usually learn multiple classifiers simultaneously by exploiting the correlations among different labels. However, it is difficult and/or expensive to co...
Learning Supervised Machine Learning Algorithms
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Boundary-aware context neural network for medical image segmentation.

Medical image analysis Feb 14, 2022
Medical image segmentation can provide a reliable basis for further clinical analysis and disease diagnosis. With the development of convolutional neural networks (CNNs), medical image segmentation performance has advanced significantly. However, mos...
Image Processing, Computer-Assisted Learning Humans Neural Networks, Computer
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TATL: Task agnostic transfer learning for skin attributes detection.

Medical image analysis Feb 13, 2022
Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task. However, we argue that such approaches are suboptimal because medical datasets are largely different from I...
Neural Networks, Computer Benchmarking Learning Machine Learning Humans
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Dynamic Heterogeneous User Generated Contents-Driven Relation Assessment via Graph Representation Learning.

Sensors (Basel, Switzerland) Feb 11, 2022
Cross-domain decision-making systems are suffering a huge challenge with the rapidly emerging uneven quality of user-generated data, which poses a heavy responsibility to online platforms. Current content analysis methods primarily concentrate on non...
Semantics Learning Cluster Analysis Machine Learning Neural Networks, Computer
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Design of a robotic zebra finch for experimental studies on developmental song learning.

The Journal of experimental biology Feb 10, 2022
Birdsong learning has been consolidated as the model system of choice for exploring the biological substrates of vocal learning. In the zebra finch (Taeniopygia guttata), only males sing and they develop their song during a sensitive period in early ...
Learning Animals Vocalization, Animal Robotics Robotic Surgical Procedures Male Finches
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