Search Results for author:
Found 10 papers, 3 papers with code
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
In order to solve these problems, our method combines the two-dimensional (2-D) CNN-based real-time object detector network with spatiotemporal information.
Some Developments in Clustering Analysis on Stochastic Processes
We review some developments on clustering stochastic processes and come with the conclusion that asymptotically consistent clustering algorithms can be obtained when the processes are ergodic and the dissimilarity measure satisfies the triangle inequality.
Cluster Analysis on Locally Asymptotically Self-similar Processes with Known Number of Clusters
We conduct cluster analysis on a class of locally asymptotically self-similar stochastic processes, which includes multifractional Brownian motion as a representative.
Covariance-based Dissimilarity Measures Applied to Clustering Wide-sense Stationary Ergodic Processes
We introduce a new unsupervised learning problem: clustering wide-sense stationary ergodic stochastic processes.
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
While recent neural encoder-decoder models have shown great promise in modeling open-domain conversations, they often generate dull and generic responses.
Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog
Social norms are shared rules that govern and facilitate social interaction.
A Comparison of Clustering and Missing Data Methods for Health Sciences
In this paper, we compare and analyze clustering methods with missing data in health behavior research.
