Color quantization - Color quantization reduces the set of colors used to represent an image, typically by mapping original colors to a smaller palette.
Color space - A color space is a defined system for representing colors with numerical coordinates and an interpretation of those coordinates.
Color transfer - Color transfer changes an image's color appearance using another image or a reference color distribution as guidance.
Color2Gray - Color2Gray is a color-to-grayscale method designed to preserve visually important distinctions that can disappear when an image's color information is removed.
Coloring - Coloring, in the graph-theory sense used here, assigns labels called colors to graph vertices so that adjacent vertices receive different labels.
Colorization (scribble-based) - Scribble-based colorization adds color to a grayscale image using sparse color marks supplied by a person.
Column - A column is a named vertical part of a table that holds values for a particular attribute or field across its rows.
Column space - The column space of a matrix is the set of all linear combinations of its columns.
Combinations - Combinations are selections in which order does not matter.
Combinatorial data analysis - Combinatorial data analysis studies data through discrete arrangements of objects, such as groupings, orderings, or hierarchies.
Combinatorial explosion - Combinatorial explosion is the rapid growth in the number of possible combinations, arrangements or decision sequences as a problem becomes larger.
Combinatorial search - Combinatorial search explores combinations of discrete choices to find a solution satisfying constraints or optimizing an objective.
Combinatorics - Combinatorics is the branch of mathematics concerned with discrete structures, including how to count, arrange and select objects and how to establish that...
Combs method - The Combs method is an approach to organizing fuzzy rules associated with William Combs and the union rule configuration.
Commissive speech act - A commissive speech act is an utterance that commits its speaker to a future course of action.
Commit (data management) - In data management, a commit is the successful completion of a transaction that makes its changes part of the database's accepted state under the system's...
Commitment ordering - Commitment ordering is a concurrency-control property that aligns transaction commit order with the order imposed by conflicting operations.
Committee machine - A committee machine combines the outputs of several predictive models into one overall response.
Common cause - A common cause is a source of variation that forms part of the usual operation of a process.
Common data model - A common data model is an agreed way to describe shared entities, attributes, relationships and meanings across systems.
Common ground - Common ground is the information that participants in a conversation treat as shared, including relevant knowledge, beliefs and assumptions.
Common noun - A common noun is a noun used to name a class or kind of person, place, object, substance or idea, rather than functioning as a proper name.
Common random numbers - Common random numbers is a simulation technique that deliberately shares random inputs between alternatives being compared.
Common source bias - Common source bias is distortion in a measured relationship that arises because the variables are obtained from the same information source.
Commonality analysis - Commonality analysis decomposes the variance accounted for by a regression model into components associated uniquely with individual predictors and...
Commonsense reasoning - Commonsense reasoning uses everyday knowledge about the world to draw conclusions that are not explicitly stated.
Communicability - Communicability is a network measure describing the connection between two nodes using walks of many lengths, rather than only their shortest path.
Communicability Betweenness - Communicability betweenness is a node-centrality measure based on how much that node contributes to the weighted walks connecting other nodes.
Communication-avoiding algorithm - A communication-avoiding algorithm reorganizes computation to reduce costly data movement or communication events.
Communication network - A communication network is a collection of devices connected by links that allow them to exchange information.
Commutation matrix - A commutation matrix is a permutation matrix that rearranges a vectorized matrix into the vectorized form of its transpose.
Commutativity - Commutativity means that changing the order of specified operations does not change their result.
Compact letter display - A compact letter display is a concise way to encode the outcomes of a set of pairwise statistical comparisons using letters beside group estimates.
Compact model - A compact model is a small machine-learning model designed to operate on devices with limited computational resources, such as phones, tablets or embedded...
Compact quasi-Newton representation - A compact quasi-Newton representation expresses a curvature-approximation matrix as a simple starting matrix plus a correction assembled from a small...
Compact-support kernel - A compact-support kernel is a kernel that is exactly zero outside a bounded neighborhood.
Compactly supported kernel - A compactly supported kernel is a kernel whose nonzero values are confined to a bounded neighborhood.
Companding - Companding combines compression and expansion of a signal's amplitude range.
Comparative trial - A comparative trial is a study that compares two or more treatment or intervention groups to evaluate differences in outcomes.
Competitive learning - Competitive learning is a learning approach in which processing units compete to respond to an input, and the selected unit or units receive the main...
Competitive ratio - A competitive ratio measures an online algorithm's performance against an optimal offline algorithm that knows the entire input sequence in advance.
Compiled Query - A compiled query is a database query translated into a form that a particular system can execute.
Complement Naive Bayes - Complement Naive Bayes, or CNB, is a classification method derived from multinomial naive Bayes that estimates each class's weights using examples outside...
Complement Of An Event - The complement of an event is the set of all outcomes in the specified sample space for which that event does not occur.