[jira] [Closed] (SPARK-8493) Fisher Vector Estimator

["Nick Pentreath (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nick Pentreath closed SPARK-8493.
---------------------------------
    Resolution: Won't Fix

> Fisher Vector Estimator
> -----------------------
>
>                 Key: SPARK-8493
>                 URL: https://issues.apache.org/jira/browse/SPARK-8493
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Feynman Liang
>            Priority: Minor
>
> Fisher vectors provide a vocabulary-based encoding for images (see https://hal.inria.fr/hal-00830491/file/journal.pdf). This representation is useful due to reduced dimensionality, providing regularization as well as increased scalability.
> An implementation of FVs in Spark ML should provide a way to both train a GMM vocabulary (as an {{estimator}}) as well compute Fisher kernel encodings of provided images (as a {{transformer}}). The vocabulary trainer can be implemented as a standalone GMM pipeline. The feature transformer can be implemented as a org.apache.spark.ml.UnaryTransformer. It should accept a vocabulary (Array[Array[Double]]) as well as an image (Array[Double]) and produce the Fisher kernel encoding (Array[Double]).
> See Enceval (http://www.robots.ox.ac.uk/~vgg/software/enceval_toolkit/) for a reference implementation in MATLAB/C++.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org