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151 951 (0,183s)

Result

Optimal Detection in Case of the Sparse Training Data

Optimal Detection in Case of the Sparse Training Data...

AI - Jazykověda

  • 2004
  • D
Result

Asteroid models from combined sparse and dense photometric data

We use the lightcurve inversion method to obtain rotation parameters and coarse shape models of selected asteroids. We combine sparse photometric data from the US Catalogueand the Palmer Divide Observatory archive, and show that suc...

BN - Astronomie a nebeská mechanika, astrofyzika

  • 2009
  • Jx
Result

Sparse Distributed Memory -- Pattern Data Analysis

This paper discusses, how some statistical properties of pattern data can affect efficiency of Kanerva's Sparse Distributed Memory (SDM). Then, it suggests an method which should improve SDM efficiency....

JD - Využití počítačů, robotika a její aplikace

  • 2000
  • D
Result

Spherical Object Reconstruction Using Simplex Meshes from Sparse Data

. The method can handle volumetric as well as three-dimensional range data and is easy to use and relatively fast. The method, however, can yield wrong results for sparse data. The goal of this paper is to describe a modifi...

JD - Využití počítačů, robotika a její aplikace

  • 2003
  • D
Result

Large-Scale Visualization of Sparse Matrices

An efficient algorithm for parallel acquisition of visualization data for large sparse matrices is presented and evaluated both analytically and empirically-processors mapping and with any sparse storage format/scheme. The ...

IN - Informatika

  • 2014
  • Jx
  • Link
Result

A New Format for the Sparse Matrix-vector Multiplication

Algorithms for the sparse matrix-vector multiplication (shortly spMV) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the memory access patterns are irregular and the utilizati...

IN - Informatika

  • 2007
  • D
Result

Sparse principal balances

Compositional data analysis deals with situations where the relevant, and not in the reported values. This article focuses on high-dimensional compositional data (e.g., mass spectral data), proteomics or genomics. The goal ...

BA - Obecná matematika

  • 2015
  • Jx
  • Link
Result

The sparse image representation for automated image retrieval

a novel statistical-based model for the efficient dimensional reduction of sparse data. Although images can be represented sparsely for instance by the discrete cosine data bya statistical model of the sparse<...

IN - Informatika

  • 2008
  • D
Result

Parallel Data Acquisition for Visualization of Very Large Sparse Matrices

The problem of visualization of very large sparse matrices emerging on massively parallel computer systems is identified and a new method along with an accompanying algorithm for parallel acquisition of visualization data for such m...

IN - Informatika

  • 2014
  • D
  • Link
Result

Performance tuning of the sparse matrix-vector multiplication on modern CPUs

In this paper, we describe several modifications of the basic algorithm for the sparse matrix-vector multiplication. We investigate performance gains of these modifications on 4 CPU platforms....

IN - Informatika

  • 2004
  • A
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