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Selectively densified 3D object modeling based on regions of interest detection using neural gas networks.

, , and . Soft Comput., 21 (18): 5443-5455 (2017)

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Neural-network-based models of 3-D objects for virtualized reality: a comparative study., , and . IEEE Trans. Instrum. Meas., 55 (1): 99-111 (2006)Neural-network-based adaptive sampling of three-dimensional-object surface elastic properties., and . IEEE Trans. Instrum. Meas., 55 (2): 483-492 (2006)Learning and Prediction of Soft Object Deformation Using Visual Analysis of Robot Interactions., , and . ISVC (2), volume 6454 of Lecture Notes in Computer Science, page 232-241. Springer, (2010)Wearable Sensor Data Classification for Human Activity Recognition Based on an Iterative Learning Framework., , and . Sensors, 17 (6): 1287 (2017)Re-aligning Shadow Models can Improve White-box Membership Inference Attacks., , , and . CoRR, (2023)Visual attention-based 3D multiple LOD modeling for virtual environments., and . HAVE, page 1-6. IEEE, (2015)Object recognition on satellite images with biologically-inspired computational approaches., , and . SACI, page 81-86. IEEE, (2012)Salient Object Detection in Images by Combining Objectness Clues in the RGBD Space., , and . ICIAR, volume 10317 of Lecture Notes in Computer Science, page 247-255. Springer, (2017)Interaction with virtual spiders for eliciting disgust in the treatment of phobias., , , and . HAVE, page 29-34. IEEE, (2014)A Surprisingly Robust Trick for Winograd Schema Challenge., , , , and . CoRR, (2019)