Abstract: Technology is described for controlling a heterogeneous sensor node network. The method can include obtaining sensor data from a plurality of sensors which include a plurality of sensor modalities in sensor nodes. The sensor data may be combined in a joint feature space that represents multimodal input. Another operation may be detecting features from the sensor data using the joint feature space. Neighboring sensor nodes may be identified to receive the features. A further operation may be sending the features to other sensor nodes in a sensor node network.

Abstract: A system and method is disclosed for a remote activity detection process using an analysis of data streams of an entity such as an end user and/or a customer. In an embodiment, the detection process uses the data stream analysis to evaluate an entity's potential involvement in an activity based on individual measures for the entity such as comparison of the entity's data stream to the entity's peers, comparison of the entity's data stream to historical information for the entity, and/or comparison of the entity's data stream to data streams for a known second entity involved in the activity. The detection process may also use other information available which may impact the data points in a data stream, such as premises attributes associated with an entity, demographic attributes for the entity, financial attributes for the entity, and system alerts.

Abstract: A system and method is disclosed for a remote activity detection process using an analysis of data streams of an entity such as an end user and/or a customer. In an embodiment, the detection process uses the data stream analysis to evaluate an entity's potential involvement in an activity based on individual measures for the entity such as comparison of the entity's data stream to the entity's peers, comparison of the entity's data stream to historical information for the entity, and/or comparison of the entity's data stream to data streams for a known second entity involved in the activity. The detection process may also use other information available which may impact the data points in a data stream, such as premises attributes associated with an entity, demographic attributes for the entity, financial attributes for the entity, and system alerts.

Abstract: A system and method is disclosed for a remote activity detection process using an analysis of data streams of an entity such as an end user and/or a customer. In an embodiment, the detection process uses the data stream analysis to evaluate an entity's potential involvement in an activity based on individual measures for the entity such as comparison of the entity's data stream to the entity's peers, comparison of the entity's data stream to historical information for the entity, and/or comparison of the entity's data stream to data streams for a known second entity involved in the activity. The detection process may also use other information available which may impact the data points in a data stream, such as premises attributes associated with an entity, demographic attributes for the entity, financial attributes for the entity, and system alerts.

Abstract: A system and method is disclosed for a remote activity detection process using an analysis of data streams of an entity such as an end user and/or a customer. In an embodiment, the detection process uses the data stream analysis to evaluate an entity's potential involvement in an activity based on individual measures for the entity such as comparison of the entity's data stream to the entity's peers, comparison of the entity's data stream to historical information for the entity, and/or comparison of the entity's data stream to data streams for a known second entity involved in the activity. The detection process may also use other information available which may impact the data points in a data stream, such as premises attributes associated with an entity, demographic attributes for the entity, financial attributes for the entity, and system alerts.