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And Tennessee used depth and defense to get past DePaul, writes Mechelle Voepel on ESPN.com.
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The key concept of our algorithm is to construct two independent gradient fields using depth and traffic loading, respectively.
Peng et al. [15] introduced a fast coding algorithm that uses depth and color features to extract depth discontinuous regions, depth edge regions, and motion regions as masks for efficient processing and fast coding.
Our algorithm is designed through constructing a hybrid virtual gradient field using depth and normalized traffic loading to routing and providing a balance between optimal paths and possible congestion on routes toward those sinks.
In this section, we will distinguish how to make the gradient-base routing model using depth and traffic loading, respectively, and then how to integrate them together to make dynamic routing decision.
Also, TADR algorithm is designed through constructing a hybrid virtual potential field using depth and normalized queue length to force the packets to steer clear of obstacles created by congestion and eventually move toward the sink [32].
For example, the section "GLO1: a semi-automated luminescence imaging system for rhizotrons" uses "depth" and "thick" to mean the same thing.
We used depth measurements and identified the position of the caudate relative to the FEF.
Additionally, though there are noises in both the depth map and/or the image saliency, the proposed model still can obtain satisfactory SVA jointly using depth, motion, and texture information and depress noises in each channel.
These prototype "autofocals" from Stanford researchers use depth sensing and gaze tracking to bring the world into focus when someone lacks the ability to do it on their own.
Ess et al. [13] explicitly use depth information and projected two-dimensional (2D) detection results onto the three-dimensional (3D) space.
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