Set partitioning in hierarchical trees (SPIHT) is an image compression algorithm that exploits the inherent similarities across the subbands in a wavelet...

In computer science, binary space partitioning (BSP) is a method for space partitioning which recursively subdivides a Euclidean space into two convex...

In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to...

wavelet transform (1993), and set partitioning in hierarchical trees (SPIHT) developed by Amir Said with William A. Pearlman in 1996. The JPEG 2000 standard...

Tabatabai in 1988 (used in JPEG 2000 or JPEG XS ), the Binomial QMF developed by Ali Naci Akansu in 1990, the set partitioning in hierarchical trees (SPIHT)...

Recursively partitioning space using planes in this way produces a BSP tree, one of the most common forms of space partitioning. Space partitioning is particularly...

In computer science, a tree is a widely used abstract data type that represents a hierarchical tree structure with a set of connected nodes. Each node...

using wavelets instead of a short-time Fourier transform Set partitioning in hierarchical trees Short-time Fourier transform Stationary wavelet transform...

compression: method used to compress images using fractals Set Partitioning in Hierarchical Trees (SPIHT) Wavelet compression: form of data compression well...

interval hierarchy (BIH) is a partitioning data structure similar to that of bounding volume hierarchies or kd-trees. Bounding interval hierarchies can be...

proceed by partitioning the input set into two (or more) subsets, bounding them in the chosen bounding volume, then continuing to partition (and bound)...

to k-d trees. In computer science, a k-d tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional...

a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree. All forms of quadtrees share some common features:...

In mathematics, a graph partition is the reduction of a graph to a smaller graph by partitioning its set of nodes into mutually exclusive groups. Edges...

considerations. In 3D video games such as Quake, binary space partitioning (BSP) trees are heavily favored to minimize visibility tests. BSP trees, however,...

N=negative, T=ZeroTree, IZ=Izolated zero) S = subordinate pass; (R = back reconstructed value) Set partitioning in hierarchical trees (SPIHT) J.M. Shapiro...

class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. More generally, the...

Mathematically it is a space partitioning: it consists of a set of non-empty regions that form a partition of the Earth's surface. In a usual grid-modeling strategy...

at partitioning a set of objects into groups such that objects within the same group (called a cluster) exhibit greater similarity to one another (in some...

k-medoids is a classical partitioning technique of clustering that splits the data set of n objects into k clusters, where the number k of clusters assumed...

Rose tree These are data structures used for space partitioning or binary space partitioning. Segment tree Interval tree Range tree Bin K-d tree Implicit...

super cluster splitting with relatively high speed. Unlike partitioning and hierarchical methods, density-based clustering algorithms are able to find...

random partitions to be isolated, compared to normal points. Recursive partitioning can be represented by a tree structure named Isolation Tree, while...

difficult to use, as it will usually produce a hierarchical clustering instead of the simple data partitioning that DBSCAN produces. Recently, one of the...

then only the (multi-)set of weights in minimum spanning trees is certain to be unique; it is the same for all minimum spanning trees. If the weights are...

rectangles. Treemaps display hierarchical (tree-structured) data as a set of nested rectangles. Each branch of the tree is given a rectangle, which is...

typically simple decision trees. When a decision tree is the weak learner, the resulting algorithm is called gradient-boosted trees; it usually outperforms...

networks are highly hierarchical. Some intersections, for example highway junctions, are "more important" and higher up in the hierarchy than for example...

data sets. Generally the random sample fits in main memory. The random sampling involves a trade off between accuracy and efficiency. Partitioning: The...

In software engineering, the composite pattern is a partitioning design pattern. The composite pattern describes a group of objects that are treated the...