2009, 2017 xxi • z/VM Performance component • Linux on zSeries component • Lotus Domino for z/OS component • WebSphere Application Server traditional component • Chapter 16, "WebSphere Application Server Liberty component," on page 531 • z/OS Interval Job/Step Accounting component...
Then, the encoded feature maps are averagely sliced and discriminately learned in the following body part subnetwork. Afterwards, the resulting feature maps are fused in the feature fusion subnetwork. The final feature vectors are then normalized on the unit sphere space and learned by following the...
positive, or neutral in review mining. In review summarization, a concise summary for corresponding reviews gets automatically formulated based on the results of the review mining step. The scope of this work
τ is important for supervised feature learning [43], and also necessary for tun- ing the concentration of v on our unit sphere. The learning objective is then to maximize the joint prob- ability n i=1 Pθ (i|fθ (xi )), or equivalently to minimize the negative log-likelihood over ...
(#5534) * Fix adding vectors element-wise in visual_tracking.wbt (#5532) * Fix adding vectors element-wise * Add error messages if value with wrong length is set * Add additional error message * Improve error messages Co-authored-by: Olivier Michel <Olivier.Michel@cyberbotics.com> * ...
* There really aught to be a way to tell whether or not a model needs to be places as a prop_physics or not without compiling the map to see if it gets deleted for being static or tracking down the model QC. ** There is a tab which is indicating that kind of information ...
(not shown), relating to the user's location and activities, and applied to a context engine3. A variety of technologies are available for tracking the locations of people. Examples of such ubiquitous sensors include the Active Badge System [Roy Want, Andy Hopper, Veronica Falcao, Jonathan ...
It has a wide application prospect in virtual reality, autonomous vehicle, robot environment analysis, object tracking, recognition in monitoring system, biomedical image processing, and industrial online automatic detection [1]. The reverse engineering technology has its domain in various fields. In ...
and updating the overall score for the pair of names based on comparing features of the first name with features of the second name; and providing, with the computer, a list of the second names from the set of second names that matched the first name in order of the updated score for ...
For the class of methods that we are interested in, the computation of the spatial relationship between arbitrary views (“home vectors”) is required. Therefore, we focus on feature matching without restricting the search space by feature tracking and study the effect of incorporation of color ...