In the deep neural network (DNN)–hidden Markov model (HMM), the DNN is mainly used for feature processing, while the HMM is mainly used for sequence modeling.
The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.
The natural language processing field usually uses distributed semantic representation to represent words. Each word is no longer a completely orthogonal 0-1 vector, but a point in a multi-dimensional real number space, which is specifically represented as a real number vector.
The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?
Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?
Transformer models outperform LSTM when analyzing and processing long-distance dependencies, making them more effective for sequence data processing.
What are the adjacency relationships between two pixels whose coordinates are (21,13) and (22,12)?
