• No results found

Machine Learning Algorithms for Image Classification of Hand Digits and Face Recognition Dataset

N/A
N/A
Protected

Academic year: 2020

Share "Machine Learning Algorithms for Image Classification of Hand Digits and Face Recognition Dataset"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1: KNN classification of data
Figure 2: Multilayer Neuron with Two hidden Layers.
Figure 5: Scatter diagram, mnist data after PCA
Figure 8: Image Classification by Nearest Class Centroid classifier; shrink threshold = none; on ORL dataset, shrinkage is 0.2
+3

References

Related documents

However for type I Hsp40 Ydj1 from Yeast, the interactions between Ydj1 and D-form peptide substrate GWLYEIS or the peptide with the retro sequence of GWLYEIS can not be detected

Calculated economic values for 1,3-D included average increase in lint yield, cost per kilogram of incremental lint yield, net return per kilogram increase in lint yield, and

What I call the “human capital strategy”, that is, the sum technologies deployed for investing in human life conceived of as an “ability-machine”, is expressive of some of the

It refers to such things as Really Simple Syndication (RSS), an aggregator of Web content that can be displayed in one place; wikis, which are Web pages that can be created and

The case studies indicated that, although some of the literature based value proposition factors are relevant to the South African situation, there are specific factors relating to

Control unit, fan and circulation pump motors, solenoid valve, ignition coil, heater cartridge for nozzle block pre- heater and timer are designed either for 12-volt or 24-

Haplotype distribution and climatic models showed that during glacial maxima both species experienced a strong range contraction and presumably remained separated into