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Found 13 papers, 2 papers with code
Multi-view Gait Recognition based on Siamese Vision Transformer
Different views significantly affect the extraction and identification accuracy of the characteristics of gait contour.
KIT MOMA: A Mobile Machines Dataset
Mobile machines typically working in a closed site, have a high potential to utilize autonomous driving technology.
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
Though recent neural models make prominent progress in some criteria of poetry quality, generated poems still suffer from the problem of poor diversity.
Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System
By exposing the options of poetry genres, styles and revision modes, Jiuge, acting as a professional assistant, allows constant and active participation of users in poetic creation.
Automatic Poetry Generation with Mutual Reinforcement Learning
Human experts evaluate poetry in terms of some specific criteria, instead of word-level likelihood.
Chinese Poetry Generation with a Working Memory Model
Different from previous methods, our model explicitly maintains topics and informative limited history in a neural memory.
Chinese Poetry Generation with a Salient-Clue Mechanism
As a precious part of the human cultural heritage, Chinese poetry has influenced people for generations.
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chest X-rays is one of the most commonly available and affordable radiological examinations in clinical practice.
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions
Extensive experiment results on two datasets demonstrate that our method can achieve almost identical results compared with state-of-the-art contextual bandit methods on the dataset without outliers, and significantly outperform those state-of-the-art methods on the badly noised dataset with outliers in a variety of parameter settings.
Adaptive Graph Convolutional Neural Networks
Graph Convolutional Neural Networks (Graph CNNs) are generalizations of classical CNNs to handle graph data such as molecular data, point could and social networks.
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Convolution Neural Networks on Graphs are important generalization and extension of classical CNNs.
Generating Chinese Classical Poems with RNN Encoder-Decoder
We take the generation of Chinese classical poem lines as a sequence-to-sequence learning problem, and build a novel system based on the RNN Encoder-Decoder structure to generate quatrains (Jueju in Chinese), with a topic word as input.
Hybrid Maximum Likelihood Modulation Classification Using Multiple Radios
The performance of a modulation classifier is highly sensitive to channel signal-to-noise ratio (SNR).
