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

reflection model Bloom (shader effect) Bounding interval hierarchy Bounding sphere Bounding volume Bounding volume hierarchy Bresenham's line algorithm Bump...

BIH Benign intracranial hypertension, a neurological disorder Bounding interval hierarchy, a data structure for computer graphics Bureau International...

X-tree Metric tree Cover tree M-tree VP-tree BK-tree Bounding interval hierarchy Bounding volume hierarchy BSP tree Rapidly exploring random tree Abstract...

%d color image', size(ImgMap, 1))) Binary space partitioning Bounding interval hierarchy Cube 2: Sauerbraten, a 3D game engine in which geometry is almost...

turns the graphic elements into pixels or picture elements. Bounding interval hierarchy Demoscene Geometry instancing Optical feedback Quartz Composer...

bounding volume (or bounding region) for a set of objects is a closed region that completely contains the union of the objects in the set. Bounding volumes...

space partitioning useful for nearest neighbor search R-tree and bounding interval hierarchy, structure for partitioning objects rather than points, with...

(also known as trees or hierarchies) in relational databases. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and...

In Bayesian statistics, a credible interval is an interval used to characterize a probability distribution. It is defined such that an unobserved parameter...

axis-aligned bounding boxes, the sweep and prune algorithm can be a suitable approach. Several key observation make the implementation efficient: Two bounding-boxes...

but not an interval. An interval I is bounded if there exist elements a , b ∈ P {\displaystyle a,b\in P} such that I ⊆ [a, b]. Every interval that can be...

for obtaining the interval type, based on the law of comparative judgment. A common application of the law is the analytic hierarchy process. Further progress...

metric space, as above) is bounded (or: bounded and reaches its bounds). A continuous real function on the closed unit interval can be uniformly approximated...

minimum bounding rectangle in the next higher level of the tree; the "R" in R-tree is for rectangle. Since all objects lie within this bounding rectangle...

Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution...

digits. Similar ideas were introduced by G.M. Morton in 1966. It is a hierarchical spatial data structure which subdivides space into buckets of grid shape...

lower bound (often abbreviated ELBO, also sometimes called the variational lower bound or negative variational free energy) is a useful lower bound on the...

learning refers to a class of machine learning algorithms in which a hierarchy of layers is used to transform input data into a progressively more abstract...

decomposition. Pathwidth is also known as interval thickness (one less than the maximum clique size in an interval supergraph of G), vertex separation number...

arbitrarily tight on any fixed interval. Berg's result states that every non-negative real polynomial within a bounded interval can be approximated within...

various point and interval estimates can be derived, such as the maximum a posteriori (MAP) or the highest posterior density interval (HPDI). But while...

conceptually quite simple, as is demonstrated below in the case of a basic non-hierarchical model with only two parameters and no latent variables. In variational...

queries are considered to have large "overlap" creating the insecurity. By bounding the "overlap" and number of queries, a secure database can be achieved...

the hierarchical use of Rendezvous Hashing achieves O ( log ⁡ n ) {\displaystyle O(\log n)} running time. This approach creates a virtual hierarchical structure...

representation bounded error probability in polynomial time bounded queue bounded stack Bounding volume hierarchy, also referred to as bounding volume tree...

to a fully Bayesian treatment of a hierarchical model wherein the parameters at the highest level of the hierarchy are set to their most likely values...

{\displaystyle X=\{0,1\}^{n}} . In the interval problem the instance space, X {\displaystyle X} , is the set of all bounded intervals in R {\displaystyle \mathbb...

Estimators Bayesian estimator Credible interval Maximum a posteriori estimation Evidence approximation Evidence lower bound Nested sampling Model evaluation...

decomposed into many conditional levels of distributions, so-called hierarchical priors. An informative prior expresses specific, definite information...