17. An apparatus comprising: means for obtaining existing labeled data from an existing classification model for a first domain-specific application; means for obtained data labeled for a target application; and means for forming a new classification model for use with the target application by using the existing labeled data from the existing classification model and the data labeled for the target application to train the new classification model, the target application being different from the first domain-specific application and in a different domain from the first domain-specific application.
17. An apparatus comprising: means for obtaining existing labeled data from an existing classification model for a first domain-specific application; means for obtained data labeled for a target application; and means for forming a new classification model for use with the target application by using the existing labeled data from the existing classification model and the data labeled for the target application to train the new classification model, the target application being different from the first domain-specific application and in a different domain from the first domain-specific application. 18. The apparatus of claim 17 , wherein the means for forming a new classification model for use with the target application by using the labeled data for adaptation of an existing classification model comprises: means for determining a distance from the existing classification model to the new classification model; and means for performing the adaptation of the existing model by using the distance.