AIMC Journal:
IEEE transactions on pattern analysis and machine intelligence

Showing 181 to 190 of 300 articles

Incomplete Label Multiple Instance Multiple Label Learning.

IEEE transactions on pattern analysis and machine intelligence Feb 3, 2022
With increasing data volumes, the bottleneck in obtaining data for training a given learning task is the cost of manually labeling instances within the data. To alleviate this issue, various reduced label settings have been considered including semi-...
Algorithms Models, Statistical Supervised Machine Learning
View on PubMed DOI

Deep Constraint-Based Propagation in Graph Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
The popularity of deep learning techniques renewed the interest in neural architectures able to process complex structures that can be represented using graphs, inspired by Graph Neural Networks (GNNs). We focus our attention on the originally propos...
Neural Networks, Computer Algorithms Attention
View on PubMed DOI

On Inductive-Transductive Learning With Graph Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
Many real-world domains involve information naturally represented by graphs, where nodes denote basic patterns while edges stand for relationships among them. The graph neural network (GNN) is a machine learning model capable of directly managing gra...
Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
In this paper, we propose a geometric neural network with edge-aware refinement (GeoNet++) to jointly predict both depth and surface normal maps from a single image. Building on top of two-stream CNNs, GeoNet++ captures the geometric relationships be...
Neural Networks, Computer Algorithms Least-Squares Analysis
View on PubMed DOI

ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
Geometric deep learning is a relatively nascent field that has attracted significant attention in the past few years. This is partly due to the availability of data acquired from non-euclidean domains or features extracted from euclidean-space data t...
Neural Networks, Computer Algorithms
View on PubMed DOI

Dynamic Facial Expression Generation on Hilbert Hypersphere With Conditional Wasserstein Generative Adversarial Nets.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
In this work, we propose a novel approach for generating videos of the six basic facial expressions given a neutral face image. We propose to exploit the face geometry by modeling the facial landmarks motion as curves encoded as points on a hypersphe...
Neural Networks, Computer Algorithms Motion Face Facial Expression
View on PubMed DOI

P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
This paper proposes an end-to-end fine-grained visual categorization system, termed Part-based Convolutional Neural Network (P-CNN), which consists of three modules. The first module is a Squeeze-and-Excitation (SE) block, which learns to recalibrate...
Neural Networks, Computer Algorithms
View on PubMed DOI

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
The click feature of an image, defined as the user click frequency vector of the image on a predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained image recognition. Unfortunately, user click frequency data are u...
Machine Learning Algorithms Animals Birds Dogs Datasets as Topic Semantics Pattern Recognition, Automated
View on PubMed DOI

Coherence Constrained Graph LSTM for Group Activity Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
This work aims to address the group activity recognition problem by exploring human motion characteristics. Traditional methods hold that the motions of all persons contribute equally to the group activity, which suppresses the contributions of some ...
Humans Neural Networks, Computer Algorithms Motion
View on PubMed DOI

Learning to Compose and Reason with Language Tree Structures for Visual Grounding.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
Grounding natural language in images, such as localizing "the black dog on the left of the tree", is one of the core problems in artificial intelligence, as it needs to comprehend the fine-grained language compositions. However, existing solutions me...
Humans Artificial Intelligence Algorithms Language Learning
View on PubMed DOI
Popular Topics
Popular Journals