Sparse approximation (also referred to as sparse decomposition) is the problem of estimating a sparse multi-dimensional vector, satisfying a linear system of equations given high-dimensional observed data and a design matrix. Sparse approximation techniques have found wide use in applications such as image processing, audio processing, biology, and document analysis.
Other articles related to "sparse":
... to turn an inaccurate solution in a more accurate one Direct methods for sparse matrices Frontal solver — used in finite element methods Nested dissection — for symmetric matrices, based on graph ...
Famous quotes containing the word sparse:
“The report reflects incredibly terrible judgments, shockingly sparse concern for human life, instances of officials lacking the courage to exercise the responsibilities of their high office and some very bewildering thought processes.”
—Jane Jarrell Smith, U.S. widow of American astronaut Michael J. Smith. As quoted in Newsweek magazine, p. 13 (June 30, 1986)