Edge-directed interpolation - Edge-directed interpolation estimates missing image samples by adapting to local edge structure.
Edge enhancement - Edge enhancement changes an image to make transitions near edges more pronounced.
Edge-factored - Edge-factored describes a structured model whose score for a graph or tree decomposes into contributions from its individual edges.
Edge-preserving filter - An edge-preserving filter processes an image while trying to avoid blurring important transitions between regions.
Edge-preserving smoothing - Edge-preserving smoothing reduces selected image variations while trying to retain meaningful boundaries between regions.
Edge-spread function - An edge-spread function, or ESF, describes how an imaging system represents a sharp step boundary as a profile of image values across that boundary.
Edge weight - An edge weight is a numerical value associated with a connection between two nodes in a graph.
Edgelist - An edgelist, or edge list, represents a graph by listing its connections, usually one edge per record with two endpoint identifiers and optional edge...
Edit distance - Edit distance measures the minimum cost of changing one sequence into another using a specified set of edit operations.
Edmonds-Karp - Edmonds-Karp is an algorithm for finding a maximum flow from a source to a sink in a capacitated network.
EDU - EDU stands for elementary discourse unit: a minimal segment used as a building block in a discourse analysis, especially Rhetorical Structure Theory.
Effect size - Effect size is a numerical description of how large a difference or association is.
Effective branching factor - The effective branching factor is a summary measure that compares a search's node count with a hypothetical uniform tree of the same solution depth.
Effective degrees of freedom - Effective degrees of freedom quantify the flexibility or statistical complexity used by a fitting procedure, under a specified definition.
Effective depth - Effective depth is an analytical way to describe search effort as though a search had explored a shallower tree than an uninformed baseline.
Effective dimension - Effective dimension is a measure of how many independent directions or degrees of freedom substantially contribute to a model or learning problem.
Effective model dimensionality - Effective model dimensionality describes how many independent directions of model flexibility are meaningfully determined or used under a specified dataset...
Effective sample size - Effective sample size is the size of a specified reference sample that would provide comparable statistical information or precision for a particular analysis.
Efficiently updatable neural network - An efficiently updatable neural network, commonly called NNUE, is an architecture designed to reuse computations when successive inputs change only slightly.
Efros - Leung texture synthesis - Efros - Leung texture synthesis is an example-based method that grows a new texture image one pixel at a time using a supplied texture sample.
Egocentric vision - Egocentric vision studies visual information captured from the perspective of the person or agent performing an activity.
Eigenmoments - Eigenmoments are image descriptors obtained by applying eigenanalysis to a space of geometric image moments.
Eigenvalue - An eigenvalue is a number that describes how a square matrix scales a corresponding nonzero eigenvector.
Eigenvector - An eigenvector is a nonzero vector that a square matrix transforms into a scalar multiple of itself.
Einsum notation - Einsum notation is a compact way of writing operations on multi-dimensional arrays by naming their axes, so sums, products, transposes and contractions are...
Elastic map - An elastic map is a method for approximating a dataset with a low-dimensional structure embedded in the original data space.
Elastic-Net - Elastic-Net is a regression method that combines the two classic penalty types, L1 and L2, so it selects variables like the first and stabilizes estimates...
Electronic image stabilization - Electronic image stabilization reduces unwanted apparent camera motion by digitally adjusting captured images or video frames.
Electronic seal - An electronic seal is electronic data associated with other electronic information to support verification of its origin and integrity.
Elementary Domain - Elementary domain is a database-modeling term for a basic value domain, such as numbers, character strings, or dates, used as a building block for attributes.
Elementary matrix - An elementary matrix is a square matrix obtained by applying one elementary row operation to an identity matrix.
Elias delta coding - Elias delta coding is a self-delimiting binary code for positive integers.
Elias gamma coding - Elias gamma coding is a self-delimiting binary representation of positive integers.
Elias omega coding - Elias omega coding is a self-delimiting binary code for positive integers that recursively represents the lengths needed to describe a number.
Eligibility trace - An eligibility trace is a temporary memory used by a learning algorithm to determine which recently active states, actions or features should be updated...
Elitism - Elitism is an evolutionary-search mechanism that preserves one or more of the best current candidate solutions when forming the next population.
Elliptical distribution - An elliptical distribution is a multivariate probability distribution obtained by shifting and linearly transforming a spherically symmetric random vector.
Elliptical weighted average (EWA) - Elliptical weighted average, or EWA, filtering estimates a resampled image or texture value by combining samples within an elliptical footprint using...
Elman Networks - Elman networks are simple recurrent neural networks that feed the previous hidden state into the computation of the next hidden state.
ELMo - ELMo, short for Embeddings from Language Models, is a method for producing word representations that change with the surrounding text.
ELU Function - The ELU function, short for exponential linear unit, is a neural-network activation function that is linear for positive inputs and follows a saturating...
Embarrassingly parallel - An embarrassingly parallel workload can be divided into tasks that run independently with little or no communication between them during computation.
Embedded analytics - Embedded analytics is the integration of analytical information and interactions into another application, portal or website.
Embedded SQL - Embedded SQL is SQL written within a program in a host language, such as C or COBOL, using a supported embedding syntax and processing system.
Embedded zerotrees of wavelet transforms - Embedded zerotrees of wavelet transforms refers to the embedded zerotree wavelet, or EZW, approach to image compression introduced by Jerome Shapiro.
Embedding - An embedding is a numerical representation that places an item in a vector space where relationships can be useful for a machine-learning task.
Embedding layer - An embedding layer maps discrete identifiers, such as token or category IDs, to dense numerical vectors.