preprocessFeatures.m PCA dimensionality reduction problem

[BTUJACK]

in MATLAB command line:

features = load('docia.mat'); %docia.mat is the 128 dimensionality features
image= imread('docia_one.png'); %docia_one.png is the origianl picture
preprocessFeatures(features, image)

The operator '<' that corresponds to the input parameter of type 'struct' is not defined.

wrong preprocessFeatures (line 7)
features(features < -5) = -5;

my analysis:

features is a 640640128 array, but -5 is just a number.
They can not be compared.

### my aim:
I want to use the file preprocessFeatures.m to reduce the dimensionality of hyper-dimensional semantic feature vectors as described in Section 3.5 which is generated by the Python program.

[quxiaofeng]

When load() by matlab, the 128-dim feature is a field (embedmap) of a structure. It needs to be unpacked.

tmp = load('docia.mat');
features = tmp.embedmap;

[BTUJACK]

When load() by matlab, the 128-dim feature is a field (embedmap) of a structure. It needs to be unpacked.

tmp = load('docia.mat');
features = tmp.embedmap;

thanks your reply. I fixed it.
Thx