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A survey on graph kernels
Graph kernels have become an established and widely-used technique for solving
classification tasks on graphs. This survey gives a comprehensive overview of techniques …
classification tasks on graphs. This survey gives a comprehensive overview of techniques …
A comprehensive survey of rgb-based and skeleton-based human action recognition
C Wang, J Yan - IEEE Access, 2023 - ieeexplore.ieee.org
With the advancement of computer vision, human action recognition (HAR) has shown its
broad research worth and application prospects in a wide range of fields such as intelligent …
broad research worth and application prospects in a wide range of fields such as intelligent …
AA Liu, YT Su, WZ Nie… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a hierarchical clustering multi-task learning (HC-MTL) method for joint
human action grou** and recognition. Specifically, we formulate the objective function into …
human action grou** and recognition. Specifically, we formulate the objective function into …
Graph kernels: A survey
Graph kernels have attracted a lot of attention during the last decade, and have evolved into
a rapidly develo** branch of learning on structured data. During the past 20 years, the …
a rapidly develo** branch of learning on structured data. During the past 20 years, the …
Benchmarking a multimodal and multiview and interactive dataset for human action recognition
Human action recognition is an active research area in both computer vision and machine
learning communities. In the past decades, the machine learning problem has evolved from …
learning communities. In the past decades, the machine learning problem has evolved from …
Deep sequential context networks for action prediction
This paper proposes efficient and powerful deep networks for action prediction from partially
observed videos containing temporally incomplete action executions. Different from after-the …
observed videos containing temporally incomplete action executions. Different from after-the …
Deep graph similarity learning: A survey
In many domains where data are represented as graphs, learning a similarity metric among
graphs is considered a key problem, which can further facilitate various learning tasks, such …
graphs is considered a key problem, which can further facilitate various learning tasks, such …
Motionlets matching with adaptive kernels for 3-d indian sign language recognition
Recognizing human gestures in sign language is a complex and challenging task. Human
sign language gestures are a combination of independent hand and finger articulations …
sign language gestures are a combination of independent hand and finger articulations …