Deep Open Snake Tracker for Vessel Tracing

Deep Knowledge Tracing

Knowledge tracing—where a machine models the knowledge of a student as they interact with coursework—is a well established problem in computer supported education. Though effectively modeling student knowledge would have high educational impact, the task has many inherent challenges. In this paper we explore the utility of using Recurrent Neural Networks (RNNs) to model student learning. The RN...

Real-time Adaptive Color Snake Tracker Using Condensation Algorithm

Motion tracking and object segmentation are the most fundamental and critical problems in vision tasks such as motion analysis. An active contour model, snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects. Snake is designed on the basis of snake energies. Segmenting and tracking can be executed successfully by energy minimization. In this research, two n...

The prospects for tracing deep language ancestry

How Deep is Knowledge Tracing?

In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, generalpurpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better. This tension has recently surfaced in the realm of...

study of deep foundation performances by frustum confining vessel (fcv)

physical modeling for study of deep foundations can be performed in simple chambers (1g), calibration chambers (cc), and centrifuge apparatus (ng). these common apparatus face certain limitations and difficulties. recently, frustum confining vessels (fcv) have been evolved for physical modeling of deep foundations and penetrometers. shaped as the frustum of a cone, this device applies steady pr...