Skip to Main Content
Machine Learning for Big Data Analysis
book

Machine Learning for Big Data Analysis

by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De
December 2018
Intermediate to advanced content levelIntermediate to advanced
193 pages
6h 37m
English
De Gruyter
Content preview from Machine Learning for Big Data Analysis

The values of the coefficients computed by substituting the four points in Table 2.1 are computed as

a 3 =707.3, a 2 =2778.9, a 2 =3562.8, a 0 =1492.7

Thus, the value of tan(1.47) = 13.559 is computed using a polynomial of degree 3.

2.4Proposed methodology

2.4.1Flow diagram

Fig. 2.5: Flow diagram for proposed method

2.4.2Algorithm for storyboard generation

A video V = S1S2S3 ⊗ . . . ⊗ Sn−1Sn consisting of n shots is given as input to a system. The percentage (p) of actual distances to be used is input by the user. RS represents the keyframe set generated by selecting keyframes from the component shots, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning and Big Data

Machine Learning and Big Data

Uma N. Dulhare, Khaleel Ahmad, Khairol Amali Bin Ahmad
Machine Learning for Business

Machine Learning for Business

Doug Hudgeon, Richard Nichol
Large Scale Machine Learning with Python

Large Scale Machine Learning with Python

Luca Massaron, Alberto Boschetti, Bastiaan Sjardin

Publisher Resources

ISBN: 9783110550771