公开(公告)号：US20190034814A1

公开(公告)日：2019-01-31

申请号：US16085859

申请日：2017-03-17

Applicant: SRI INTERNATIONAL

Inventor： Mohamed R. AMER ,  Timothy J. Shields ,  Amir TAMRAKAR ,  Max EHLRICH ,  Timur ALMAEV

IPC: G06N5/04 ,  G06K9/62 ,  G06N99/00

Abstract: Technologies for analyzing multi-task multimodal data to detect multi-task multimodal events using a deep multi-task representation learning, are disclosed. A combined model with both generative and discriminative aspects is used to share information during both generative and discriminative processes. The technologies can be used to classify data and also to generate data from classification events. The data can then be used to morph data into a desired classification event.

公开(公告)号：US20180239975A1

公开(公告)日：2018-08-23

申请号：US15751339

申请日：2016-08-30

Applicant: SRI International

Inventor： Amir TAMRAKAR ,  Gregory HO ,  David SALTER ,  Jihua HUANG

IPC: G06K9/00

Abstract: A method and a system are provided for monitoring driving conditions. The method includes receiving video data comprising video frames from one or more sensors where the video frames may represent an interior or exterior of a vehicle, detecting and recognizing one or more features from the video data where each feature is associated with at least one driving condition, extracting the one or more features from the video data, developing intermediate features by associating and aggregating the extracted features among the extracted features, and developing a semantic meaning for the at least one driving condition by utilizing the intermediate features and the extracted one or more features.