40 citations · 81 across the 9 of their papers we have counts for
10 papers
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu +2
We present a method for fast inference in Capsule Networks (CapsNets) by taking advantage of a key insight regarding the routing coefficients that link capsules between adjacent ne…
Capsule Networks with Max-Min Normalization
Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu +2
Capsule Networks (CapsNet) use the Softmax function to convert the logits of the routing coefficients into a set of normalized values that signify the assignment probabilities betw…
Risk Prediction of a Multiple Sclerosis Diagnosis
Joyce C. Ho, Joydeep Ghosh, KP Unnikrishnan
Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system. The progression and severity of MS varies by individual, but it is generally a disa…
Growth Patterns of US Children from 1963 to 2012
Xiang Zhong, Jingshan Li, Goutham Rao +1
Anthropometric measurements such as weight, stature (height), and body mass index (BMI) provide reliable indicators of children's growth. The 2000 CDC growth charts are the nationa…
Efficient Discovery of Large Synchronous Events in Neural Spike Streams
Raajay Viswanathan, P. S. Sastry, K. P. Unnikrishnan
We address the problem of finding patterns from multi-neuronal spike trains that give us insights into the multi-neuronal codes used in the brain and help us design better brain co…
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines
Srivatsan Laxman, Basel Shadid, P. S. Sastry +1
Engine assembly is a complex and heavily automated distributed-control process, with large amounts of faults data logged everyday. We describe an application of temporal data minin…