| D004644 |
Emotions |
Those affective states which can be experienced and have arousing and motivational properties. |
Feelings,Regret,Emotion,Feeling,Regrets |
|
| D005149 |
Facial Expression |
Observable changes of expression in the face in response to emotional stimuli. |
Face Expression,Expression, Face,Expression, Facial,Face Expressions,Facial Expressions |
|
| D006801 |
Humans |
Members of the species Homo sapiens. |
Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man |
|
| D000066499 |
Facial Recognition |
Ability to identify an individual from their facial features. |
Face Emotion Perception,Face Emotion Processing,Face Emotion Recognition,Face Processing,Face Recognition,Facial Emotion Recognition,Facial Expression Recognition,Facial Identity Recognition,Face Perception,Emotion Perception, Face,Emotion Processing, Face,Emotion Recognition, Face,Emotion Recognition, Facial,Expression Recognition, Facial,Identity Recognition, Facial,Perception, Face,Perception, Face Emotion,Processing, Face,Processing, Face Emotion,Recognition, Face,Recognition, Face Emotion,Recognition, Facial,Recognition, Facial Emotion,Recognition, Facial Expression,Recognition, Facial Identity |
|
| D000077321 |
Deep Learning |
Supervised or unsupervised machine learning methods that use multiple layers of data representations generated by nonlinear transformations, instead of individual task-specific ALGORITHMS, to build and train neural network models. |
Hierarchical Learning,Learning, Deep,Learning, Hierarchical |
|
| D001185 |
Artificial Intelligence |
Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language. |
AI (Artificial Intelligence),Computer Reasoning,Computer Vision Systems,Knowledge Acquisition (Computer),Knowledge Representation (Computer),Machine Intelligence,Computational Intelligence,Acquisition, Knowledge (Computer),Computer Vision System,Intelligence, Artificial,Intelligence, Computational,Intelligence, Machine,Knowledge Representations (Computer),Reasoning, Computer,Representation, Knowledge (Computer),System, Computer Vision,Systems, Computer Vision,Vision System, Computer,Vision Systems, Computer |
|
| D016571 |
Neural Networks, Computer |
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming. |
Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron |
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