{ "item_title" : "Neural Information Processing", "item_author" : [" Tom Gedeon", "Kok Wai Wong", "Minho Lee "], "item_description" : "Adversarial Deep Learning with Stackelberg Games.- Enhance Feature Representation of Dual Networks for Attribute Prediction.- Data augment in imbalanced learning based on Generative Adversarial Networks.- A deep learning scheme for extracting pedestrian-parcel tuples from videos.- Support Matching: a Novel Regularization to Escape from Mode Collapse in GANs.- Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation.- A Gradient-based Algorithm to Deceive Deep Neural Networks.- Writing Style Adversarial Network for Handwritten Chinese Character Recognition.- Recovering Super-Resolution Generative Adversarial Network for Underwater Images.- Hierarchical Attention CNN Model for Relation Extraction.- Fault Tolerant Broad Learning System.- Group Loss: An Efficient Strategy for Salient Object Detection.- PPGCN: a message selection based approach for graph classification.- Multi-Task Temporal Convolutional Network for Predicting Water Quality Sensor Data.- CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model.- MC-HDCNN: Computing the Stereo Matching Cost with a Hybrid Dilated Convolutional Neural Network.- Convolutional Neural Network to Detect Thorax Diseases from Multi-View Chest X-Rays.- Visual Speaker Authentication by a CNN-based Scheme with Discriminative Segment Analysis.- Intrusion Detection Using Temporal Convolutional Networks.- Empirical Study of Easy and Hard Examples in CNN Training.- GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis.- A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features.- Simple ConvNet Based on Bag of MLP-based Local Descriptors.- Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition Based on Spatiotemporal EEG Data.- A Deep Neural Network Model for Rating Prediction based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors.- LSPM: Joint Deep Modeling of Long-term Preference and Short-term Preference for Recommendation.- How we Achieved a Production Ready Slot Filling Deep Neural Network without Initial Natural Language Data.- Swarm Intelligence Based Ensemble Learning of Deep Neural Networks.- DSMRSeg: Dual-Stage feature pyramid and Mutil-Range context aggregation for real-time Semantic Segmentation.- Safety and Robustness of Deep Neural Networks Object Recognition under Generic Attacks.- Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.- Improving the Identification of Code Smells by Combining Structural and Semantic Information.- Learnable Gabor Convolutional Networks.- Deep Autoencoder on Personalized Facet Selection.- Attention-based Deep Q-Network in Complex Systems.- Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases.- A Comparison Study of Deep Learning Techniques to Increase the Spatial Resolution of Photo-realistic Images.- Neural Architecture Search for Domestic Audio Tagging.- A Robust Embedding for Attributed Networks with Outliers.- Pay Attention to Deep Feature Fusion in Crowd Density Estimation.- Knowledge Reuse of Learning Agent Based on Factor Information of Behavioral Rules.- Community Based Node Embeddings for Networks.- Code Generation from Supervised Code Embeddings.- ComNE: Reinforcing Network Embedding with Community Learning.- D2PLS: A Novel Bilinear Method for Facial Feature Fusion.- Learning Network Representation via Ego-network-level Relationship.- DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation.- Dance to Music Expressively: A Brain-inspired System Based on Audio-semantic Model for Cognitive Development of Robots.- Identifying EEG responses modulated by working memory loads from weighted phase lag index based functional connectivity microstates.- Combining Fisheye Camera with Odometer for Autonomous Parking.- Deep Learning and Statistical Models", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/036/807/3030368076_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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