33 citations · 34 across the 3 of their papers we have counts for
8 papers
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework
Qianli Ma, Lifeng Shen, Garrison W. Cottrell
As an efficient recurrent neural network (RNN) model, reservoir computing (RC) models, such as Echo State Networks, have attracted widespread attention in the last decade. However,…
Belief Tree Search for Active Object Recognition
Mohsen Malmir, Garrison W. Cottrell
Active Object Recognition (AOR) has been approached as an unsupervised learning problem, in which optimal trajectories for object inspection are not known and are to be discovered…
Recognizing and Curating Photo Albums via Event-Specific Image Importance
Yufei Wang, Zhe Lin, Xiaohui Shen +3
Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collecti…
Hierarchical Cellular Automata for Visual Saliency
Yao Qin, Mengyang Feng, Huchuan Lu +1
Saliency detection, finding the most important parts of an image, has become increasingly popular in computer vision. In this paper, we introduce Hierarchical Cellular Automata (HC…
Learning to see people like people
Amanda Song, Linjie Li, Chad Atalla +1
Humans make complex inferences on faces, ranging from objective properties (gender, ethnicity, expression, age, identity, etc) to subjective judgments (facial attractiveness, trust…
Central and peripheral vision for scene recognition: A neurocomputational modeling exploration
Panqu Wang, Garrison W. Cottrell
What are the roles of central and peripheral vision in human scene recognition? Larson and Loschky (2009) showed that peripheral vision contributes more than central vision in obta…