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Found 6 papers, 0 papers with code
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
Therefore, in this paper, these unique characteristics of sign languages are formulated as hierarchical spatio-temporal graph representations, including high-level and fine-level graphs of which a vertex characterizes a specified body part and an edge represents their interactions.
Embedding of FRPN in CNN architecture
The unfolding realized with this kind of iterative mechanism allows to simulate a deep neural network with any number of layers.
CRH: A Simple Benchmark Approach to Continuous Hashing
In recent years, the distinctive advancement of handling huge data promotes the evolution of ubiquitous computing and analysis technologies.
A Family of Maximum Margin Criterion for Adaptive Learning
In recent years, pattern analysis plays an important role in data mining and recognition, and many variants have been proposed to handle complicated scenarios.
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition
As a general means of expression, audio analysis and recognition has attracted much attentions for its wide applications in real-life world.
Adaptive Training of Random Mapping for Data Quantization
Data quantization learns encoding results of data with certain requirements, and provides a broad perspective of many real-world applications to data handling.
