Search results

The component detection algorithm (CODA) is a name for a type of LC-MS and chemometrics software algorithm focused on detecting peaks in noisy chromatograms...

The Leiden algorithm is a community detection algorithm developed by Traag et al at Leiden University. It was developed as a modification of the Louvain...

primarily by the problem of face detection, although it can be adapted to the detection of other object classes. The algorithm is efficient for its time, able...

a system used at Jefferson Lab in the United States Component detection algorithm, an algorithm in mass spectrometry CODA (company), financial software...

algorithmic application of graph theory, where subsets of connected components are uniquely labeled based on a given heuristic. Connected-component labeling...

off the stack into a new component. The path-based strong component algorithm uses a depth-first search, like Tarjan's algorithm, but with two stacks. One...

priori before the algorithm is run. Well-known algorithms for ICA include infomax, FastICA, JADE, and kernel-independent component analysis, among others...

The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by...

computational physics. Collision detection is a classic problem of computational geometry. Collision detection algorithms can be divided into operating on...

congestion avoidance. In the conventional tail drop algorithm, a router or other network component buffers as many packets as it can, and simply drops...

National Weather Service (NWS) now uses an updated algorithm developed by NSSL, the tornado detection algorithm (TDA) based on data from its WSR-88D system of...

correspondence analysis Directional component analysis Dynamic mode decomposition Eigenface Expectation–maximization algorithm Exploratory factor analysis (Wikiversity)...

k-means clustering k-medians Mean-shift OPTICS algorithm Anomaly detection k-nearest neighbors algorithm (k-NN) Local outlier factor Semi-supervised learning...

The algorithm was first described by Gerald Goertzel in 1958. Like the DFT, the Goertzel algorithm analyses one selectable frequency component from a...

Strongly connected components Path-based strong component algorithm Kosaraju's algorithm Tarjan's strongly connected components algorithm Subgraph isomorphism...

Relational Motion Detection www.cs.rochester.edu/~nelson/research Motion Detection Algorithms In Image Processing Motion Detection and Recognition Research...

In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification...

security include: Low probability of interception (LPI) Low probability of detection (LPD) Antijam — resistance to jamming (EPM or ECCM) Methods used to achieve...

multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. Unlike...

rule-based machine learning algorithms that combine a discovery component, typically a genetic algorithm, with a learning component, performing either supervised...