Method and system for processing a task with robustness to missing input information

Abstract

A unit is disclosed for generating combined feature maps in accordance with a processing task to be performed, the unit comprising a feature map generating unit for receiving more than one modality and for generating more than one corresponding feature map using more than one corresponding transformation; wherein the generating of each of the more than one corresponding feature map is performed by applying a given corresponding transformation on a given corresponding modality, wherein the more than one corresponding transformation is generated following an initial training performed in accordance with the processing task to be performed and a combining unit for selecting and combining the corresponding more than one feature map generated by the feature map generating unit in accordance with at least one combining operation and for providing at least one corresponding combined feature map; wherein the combining unit is operating in accordance with the processing task to be performed and the combining operation reduces each corresponding numeric value of each of the more than one feature map generated by the feature map generation unit down to one numeric value in the at least one corresponding combined feature map.

1 . A unit for generating a vector of at least one numeric value to be used for processing a task, the unit for generating a vector comprising:
 a unit for generating combined feature maps, the unit for generating combined feature maps comprising a feature map generating unit, the feature map generating unit for receiving more than one modality and for generating more than one corresponding feature map using more than one corresponding transformation operating independently of each other; wherein the generating of each of the more than one corresponding feature map is performed by applying a given corresponding transformation on a given corresponding modality, wherein the more than one corresponding transformation is generated following an initial training performed in accordance with the processing task to be performed and a combining unit for selecting and combining the corresponding more than one feature map generated by the feature map generating unit in accordance with at least one combining operation and for providing at least one corresponding combined feature map; wherein the combining unit is operating in accordance with the processing task to be performed and the combining operation reduces each corresponding numeric value of each of the more than one feature map generated by the feature map generation unit down to one numeric value in the at least one corresponding combined feature map;   a second feature map generating unit, the second feature map generating unit for receiving the at least one corresponding combined feature map from the unit for generating combined feature maps and for generating at least one final feature map using at least one corresponding transformation; wherein the generating of the at least one final feature map is performed by applying each of the at least one corresponding transformation on at least one of the at least one corresponding feature map received from the unit for generating combined feature maps; wherein the at least one corresponding transformation is generated following an initial training performed in accordance with the processing task to be performed; and   a feature map processing unit for receiving the generated at least one final feature map from the second feature map generating unit and for processing the generated at least one final feature map to provide a generated vector of at least one numeric value to be used for processing the task.