pattern classifier
11Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… …
12Artificial intelligence — AI redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). TOPIO, a humanoid robot, played table tennis at Tokyo International Robot Exhibition (IREX) 2009.[1] Artificial intelligence ( …
13Face detection — is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. It detects facial features and ignores anything else, such as buildings, trees and bodies. Definition and relation to other tasks Face… …
14Object categorization from image search — In computer vision, the problem of object categorization from image search is the problem of training a classifier to recognize categories of objects, using only the images retrieved automatically with an Internet search engine. Ideally,… …
15One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …
16Random forest — In machine learning, a random forest is a classifier that consists of many decision trees and outputs the class that is the mode of the classes output by individual trees. The algorithm for inducing a random forest was developed by Leo Breiman… …
17Navajo phonology — is the study of how speech sounds pattern and interact with each other in that language. The phonology of Navajo is intimately connected to its morphology. For example, the entire range of contrastive consonants is found only at the beginning of… …
18Word-sense disambiguation — Disambiguation redirects here. For other uses, see Disambiguation (disambiguation). In computational linguistics, word sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which… …
19Nominal group (functional grammar) — Those five beautiful shiny Jonathan apples sitting on the chair In systemic functional grammar (SFG), a nominal group is a group of words which expresses an entity. A nominal group is widely regarded as synonymous to noun phrase in other… …
20Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… …
