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- Merging Clusters Description: Merging Clusters is a technique used in clustering where two or more clusters are combined based on certain criteria to improve the(...) Read more
- Morphology Description: Morphology is the study of the structure and form of words in a language. It focuses on how words are formed, their components, and(...) Read more
- Markov Model Description: A Markov model is a statistical model that represents systems that transition from one state to another, where the probability of(...) Read more
- Morphological Analysis Description: Morphological analysis is the process of breaking down words into their basic components, such as roots, prefixes, and suffixes, to(...) Read more
- Multilingual Processing Description: Multilingual processing refers to the ability to process and analyze text in multiple languages, enabling machines to understand,(...) Read more
- Machine Reading Description: Machine reading is the ability of a machine to understand and interpret text. This process involves the use of algorithms and(...) Read more
- Multi-Modal Interaction Description: Multimodal interaction refers to the ability of technological systems to communicate and receive information through multiple forms(...) Read more
- Machine Perception Description: Machine perception in the context of natural language processing (NLP) refers to the ability of a machine to interpret and(...) Read more
- Minimum Error Rate Training Description: Minimum Error Rate Training (MERT) is an approach used in the field of natural language processing (NLP) to optimize machine(...) Read more
- Motion Detection Description: Motion detection is the process of identifying changes in the position of objects in a video stream. This process is based on(...) Read more
- Multi-View Geometry Description: Multi-View Geometry is a field of computer vision that focuses on the geometric relationships between different views of the same(...) Read more
- Morphological Operations Description: Morphological operations are image processing techniques that focus on the shape and structure of objects within an image. These(...) Read more
- Model Inference Description: Model inference is the process of using a previously trained machine learning model to make predictions on new data. This process(...) Read more
- Motion Estimation Description: Motion estimation is a fundamental process in computer vision that refers to determining the movement of objects in a video(...) Read more
- Multi-Object Tracking Description: Multi-object tracking is a fundamental process in computer vision that involves the simultaneous identification and tracking of(...) Read more
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