'Range search' presentation slideshows

Multi-dimensional Search Trees

Multi-dimensional Search Trees. CS 302 Data Structures Dr. George Bebis. Query Types. Exact match query: Asks for the object(s) whose key matches query key exactly. Range query: Asks for the objects whose key lies in a specified query range (interval).

1.2k views • 119 slides

Multi-dimensional Search Trees

Multi-dimensional Search Trees. CS302 Data Structures. Modified from Dr George Bebis. Query Types. Exact match query: Asks for the object(s) whose key matches query key exactly. Range query: Asks for the objects whose key lies in a specified query range (interval).

1.34k views • 98 slides

ICS 214A: Database Management Systems Winter 2004

ICS 214A: Database Management Systems Winter 2004. Lecture 08: Multi-dimensional Indexing. Motivation. Many applications of databases are geographical (2-d) data. Others involve large number of dimensions Examples: location of restaurants in a city.

708 views • 61 slides

Augmenting Data Structures

781 views • 59 slides

Algebraic Functions of Views for 3D Object Recognition

Algebraic Functions of Views for 3D Object Recognition. CS773C Advanced Machine Intelligence Applications Spring 2008: Object Recognition. Object Appearance. The appearance of an object can have a large range of variation due to: Photometric effects Scene clutter

667 views • 53 slides

Range Search Algorithms

Range Search Algorithms. Shmuel Wimer Bar Ilan Univ. Eng. Faculty Technion, EE Faculty. VLSI designer is drawing schematics or designing layout. He / she wishes to focus on a small portion of data by zooming in. How to find efficiently the objects of interest?. How to store the objects?.

456 views • 38 slides

Structured Query Language (SQL)

Structured Query Language (SQL). An example of the StayHome video rental database:. Row selection (WHERE clause). To restrict the rows that are retrieved The five basic search conditions (or predicates ) are as follows:

498 views • 37 slides

Multilevel Indexing and B+ Trees

Multilevel Indexing and B+ Trees. Indexed Sequential Files. Provide a choice between two alternative views of a file: Indexed : the file can be seen as a set of records that is indexed by key; or

750 views • 33 slides

4. Multidimensional data structures

4. Multidimensional data structures. Two main categories of data:

391 views • 30 slides

Isosurface Extractions

299 views • 28 slides

Orthogonal Range Searching

Orthogonal Range Searching. Linear Range Search : 1-dim Range Trees 2-dimensional Range Search : kd-trees 2-dimensional Range Search : 2-dim Range Trees Range Search in Higher Dimensions. A ssumption : no two points have the same x or y coordinates. y. x. Range Trees.

317 views • 13 slides

Orthogonal Range Searching

Orthogonal Range Searching. Linear Range Search : 1-dim Range Trees 2-dimensional Range Search : kd-trees 2-dimensional Range Search : 2-dim Range Trees Range Search in Higher Dimensions. Range search. Salary. Children. Age. Input: Set of data points in d-space,

432 views • 12 slides

Design of Spatial Query APIs for Road Network Applications

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Design of Spatial Query APIs for Road Network Applications

166 views • 9 slides

k-d tree

749 views • 8 slides

Research Interests

Research Interests. Andrew Rau-Chaplin www.cs.dal.ca/~arc arc@cs.dal.ca. High Performance Computing. Parallel algorithms architectures applications systems / implementation Benchmarking and performance evaluation. Project 1: Data Warehousing + OLAP. Datacube Generation Shared Memory

149 views • 8 slides