Evolving indirectly encoded convolutional neural networks to play tetris with low-level features.
Jacob SchrumPublished in: GECCO (2018)
Keyphrases
- low level features
- convolutional neural networks
- low level
- high level
- higher level
- semantic gap
- convolutional network
- visual features
- relevance feedback
- high level features
- image retrieval
- high level semantics
- minimax search
- image representation
- semantic information
- mid level
- visual information
- semantic concepts
- key frames
- high level knowledge
- semantic content
- image annotation
- cbir systems
- semantic attributes
- mid level features
- image classification
- image database
- co occurrence
- artificial intelligence
- databases
- image processing
- natural language
- relational databases
- object detection
- low level visual features