Sentence examples for high-level inferences from inspiring English sources

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Data fusion can be done at one of three possible levels: direct fusion of sensor data at the first level (also called central fusion), representation of sensor data via feature vectors, with subsequent fusion of the feature vectors at the second, or processing each sensor to achieve high-level inferences decisions, which are subsequently combined [35].

Similar(59)

Our three-tier architecture comprises low-level video tracking, event analysis and high-level inference.

High-level inference is performed using a new, cascading extension of the Rao Blackwellised Particle Filter.

They suggest also for the first time in the same sample of patients a possible double functional dissociation between low-level perceptual (posterior inferolateral prefrontal) and high-level inference-based (dorsomesial prefrontal) mentalizing processes.

Assessing the subjective experience of others in terms of mental states, a brain function referred to as mentalizing, is achieved in the brain through a set of low-level perceptual and high-level inference-based processes.

The label "visual cognition" is little used at present, but research and experiments on mid- and high-level, inference-based vision have flourished, becoming in the 21st century a significant, if often understated part, of current vision research.

Symbolic approaches use a high-level inference engine to search an abstract time-frequency representation of the acoustic signal in order to identify collections of acoustic components that are likely to have originated from the same sound source.

In this work, instead of employing a deep regression network, a Globally Optimized Dual-Pathway (GoDP) deep architecture is proposed to identify the target pixels through solving a cascaded pixel labeling problem without resorting to high-level inference models or complex stacked architecture.

The specific pattern of activity is driven by inputs outside of primary sensory cortex that carry prior information derived from high-level inference.

From this trove of data, he said, machine learning allows the device to make "high level inferences" about how much the phone's owner is sleeping, exercising or socializing.

To make higher level inferences from such annotated data, computational biologists have developed various analysis tools.

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