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Teaching methods focus more on the visual and physical than usual, and are tailored to the needs of the students.
Most shadow detection methods focus on detecting moving shadows.
Most methods focus on point-like target (PTs).
Current methods focus on the implementation of such projects.
The classic research methods focus on two aspects.
These SfM methods focus on the precision, and it was designed for reconstructing a vast scenery.
Most computational methods focus only on one of the two phenomena.
These methods focus on improving the overall prediction performance by sharing information between tasks.
The autonomous classification methods focus on the essential differences among the three basic IMOPs.
Consequently, most numerical methods focus on finding its local optimum only.
Existing sensor deployment methods focus on maximizing the sensor field coverage in indoor environments.
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