Export to jpg does not contain comments (or I can't see them)

Hi,
I've run into a problem that I've not been able to fix. I'm hoping the collective wisdom here can help me.
My problem is that when I export a pfd (from an imported jpg) back to a jpg file, the newly created jpg does not contain the comments/markups I've made. One day I could do this, the next day I couldn't. It's possible that I somehow changed preferences or something. I'm not sure.
While trying to figure this out I discovered that if I export that same jpg file (containing comments) with a watermark, then all the comments are visible. Watermark off, exported jpg does not contain comments.
To solve the problem I have:
I have tried to change all preferences back to default settings. (not sure if I found them)
I have uninstalled/reinstalled Acrobat without success.
I have also deleted the registry file without success.
I read that one way to solve the problem is to print a file with the comments to pdf, then export that pdf file back to jpg. That works, but I'd like to avoid the extra step.
Any thoughts or suggestions?
Thanking you in advance.
Robert

Have you setup home-sharing in iTunes and Apple TV?
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<SkinFactoryImpl> <getSkin> Cannot find a skin that matches family portal-admin and version v1.2. We will use the skin portal-admin.desktop.

Hi again
Official doc about export resource: http://docs.oracle.com/cd/E17904_01/webcenter.1111/e10148/jpsdg_srm.htm#CFHDJBAC
Official doc about Skin as Portal Resource: http://docs.oracle.com/cd/E25178_01/webcenter.1111/e10148/jpsdg_skin.htm#BAJFAHFG
You have to put your path + file name to export your ear file.
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Regards.
PD: Sorry i mistake talking about .mar file instead of EAR file

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Hello,
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Set 0102PCBT1IPROVDIV in set 0002$ZA13#######ROW0236 does not contain any entries
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You cannot use empty sets to define reports. The single-dimension set contains a basic set that does not contain any values.
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Use a set that contains at least one value, or enter values for the set defined.
This has been discussed in a similar Thread in May 2010 by puri & Praveen Jagdeesan,
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0002$ZA13#######ROW0236 or ROW0236 in the system.
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Hi ODM experts,
I have tried to apply the SVM alg in order to find anomalous records.The table source have rows like that:
uniq_rec ID NAME A1 A2 A3 A4 A5 data
577     2052956018     NAMEHDRCP8     2.27     0.4     85.46     0.01     14.54     24-JAN-13
578     1250914484     NAMEDJDRVP3     11.45     1.24     56.24     0.01     43.77     24-JAN-13
579     1968689283     NAMEDKEND12     0.000011     6.78     0.000029     0.01     0.091     24-JAN-13
580     2063389130     NAMEDNMXG14     0.000011     0.65     36.65     0.02     0.091     24-JAN-13
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create table ALG_SET (setting_name varchar2(30), setting_value varchar2(4000));
insert into ALG_SET values ('ALGO_NAME','ALGO_SUPPORT_VECTOR_MACHINES');
insert into ALG_SET values ('PREP_AUTO','ON');
commit;
Begin
dbms_data_mining.create_model('SVMODEL', 'CLASSIFICATION', 'ODM_PAR_FIN_HIST', 'UNQ_CRT', null, 'ALG_SET');
end;
The results is the following error:ORA-40104: invalid training data for model build ( if I run the code) .If I run from graphical interface I have obtained this
error code " Selected model does not contain any target value prior"(using the similar model - SVM for anomaly detction plus the same source table )
Please advice what is missing or wrong and if possible how to bypass this issue.
Thanks in advance for support.
Best Regards,
Bogdan

Here is also a newer example of creating a SVM Anomaly model from ODM sample code (12.1 version but this applies to 11.2):
Rem
Rem $Header: rdbms/demo/dmsvodem.sql /main/6 2012/04/15 16:31:56 xbarr Exp $
Rem
Rem dmsvodem.sql
Rem
Rem Copyright (c) 2004, 2012, Oracle and/or its affiliates.
Rem All rights reserved.
Rem
Rem    NAME
Rem      dmsvodem.sql - Sample program for the DBMS_DATA_MINING package.
Rem
Rem    DESCRIPTION
Rem      This script creates an anomaly detection model
Rem      for data analysis and outlier identification using the
Rem      one-class SVM algorithm
Rem      and data in the SH (Sales History)schema in the RDBMS.
Rem
Rem    NOTES
Rem
Rem
Rem    MODIFIED   (MM/DD/YY)
Rem    amozes      01/23/12 - updates for 12c
Rem    xbarr       01/10/12 - add prediction_details demo
Rem    ramkrish    06/14/07 - remove commit after settings
Rem    ramkrish    10/25/07 - replace deprecated get_model calls with catalog
Rem                           queries
Rem    ktaylor     07/11/05 - minor edits to comments
Rem    jcjeon      01/18/05 - add column format
Rem    bmilenov    10/28/04 - bmilenov_oneclass_demo
Rem    bmilenov    10/25/04 - Remove dbms_output statements
Rem    bmilenov    10/22/04 - Comment revision
Rem    bmilenov    10/20/04 - Created
Rem
SET serveroutput ON
SET trimspool ON
SET pages 10000
SET echo ON
--                            SAMPLE PROBLEM
-- Given demographics about a set of customers that are known to have
-- an affinity card, 1) find the most atypical members of this group
-- (outlier identification), 2) discover the common demographic
-- characteristics of the most typical customers with affinity card,
-- and 3) compute how typical a given new/hypothetical customer is.
-- DATA
-- The data for this sample is composed from base tables in the SH schema
-- (See Sample Schema Documentation) and presented through a view:
-- mining_data_one_class_v
-- (See dmsh.sql for view definition).
--                            BUILD THE MODEL
-- Cleanup old model with the same name (if any)
BEGIN DBMS_DATA_MINING.DROP_MODEL('SVMO_SH_Clas_sample');
EXCEPTION WHEN OTHERS THEN NULL; END;
-- PREPARE DATA
-- Automatic data preparation is used.
-- SPECIFY SETTINGS
-- Cleanup old settings table (if any)
BEGIN
EXECUTE IMMEDIATE 'DROP TABLE svmo_sh_sample_settings';
EXCEPTION WHEN OTHERS THEN
NULL;
END;
-- CREATE AND POPULATE A SETTINGS TABLE
set echo off
CREATE TABLE svmo_sh_sample_settings (
setting_name VARCHAR2(30),
setting_value VARCHAR2(4000));
set echo on
BEGIN
-- Populate settings table
-- SVM needs to be selected explicitly (default classifier: Naive Bayes)
-- Examples of other possible overrides are:
-- select a different rate of outliers in the data (default 0.1)
-- (dbms_data_mining.svms_outlier_rate, ,0.05);
-- select a kernel type (default kernel: selected by the algorithm)
-- (dbms_data_mining.svms_kernel_function, dbms_data_mining.svms_linear);
-- (dbms_data_mining.svms_kernel_function, dbms_data_mining.svms_gaussian);
-- turn off active learning (enabled by default)
-- (dbms_data_mining.svms_active_learning, dbms_data_mining.svms_al_disable);
INSERT INTO svmo_sh_sample_settings (setting_name, setting_value) VALUES
(dbms_data_mining.algo_name, dbms_data_mining.algo_support_vector_machines);
INSERT INTO svmo_sh_sample_settings (setting_name, setting_value) VALUES
(dbms_data_mining.prep_auto, dbms_data_mining.prep_auto_on);
END;
-- CREATE A MODEL
-- Build a new one-class SVM Model
-- Note the NULL sprecification for target column name
BEGIN
DBMS_DATA_MINING.CREATE_MODEL(
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    mining_function     => dbms_data_mining.classification,
    data_table_name     => 'mining_data_one_class_v',
    case_id_column_name => 'cust_id',
    target_column_name => NULL,
    settings_table_name => 'svmo_sh_sample_settings');
END;
-- DISPLAY MODEL SETTINGS
column setting_name format a30
column setting_value format a30
SELECT setting_name, setting_value
FROM user_mining_model_settings
WHERE model_name = 'SVMO_SH_CLAS_SAMPLE'
ORDER BY setting_name;

Export to jpg does not contain comments (or I can't see them)

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