Daniel D. Leeds
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Comparing visual representations across human fMRI and computational vision.
- Daniel D. Leeds, Darren Seibert, J. Pyles, M. Tarr
- Medicine, Psychology
- Journal of vision
- 22 November 2013
Feedforward visual object perception recruits a cortical network that is assumed to be hierarchical, progressing from basic visual features to complete object representations. However, the nature of… Expand
Predictive Power of Head Impact Intensity Measures for Recognition Memory Performance.
Subconcussive head injuries are connected to both short-term cognitive changes and long-term neurodegeneration. Further study is required to understand what types of subconcussive impacts might prove… Expand
A College Major Recommendation System
This paper describes a recommender system that uses historical data to recommend a major that the student is likely to be interested in and perform well in. Expand
Modeling Mid-Level Visual Representations through Clustering in a Convolutional Neural Network
- Daniel D. Leeds
SUBMISSION DETAILS Presentation Type Either Poster or Oral Presentation Presentation Abstract Summary The nature of visual properties used in cortical perception is subject to considerable ongoing… Expand
- Open Access
Potential cortical and computational biases in representational similarity analysis
Representational similarity analysis has become a valuable and common tool in the understanding of cortical representations across diverse cognitive arenas. Expand
Landmark detection with surprise saliency using convolutional neural networks
- F. Tang, D. Lyons, Daniel D. Leeds
- Computer Science
- IEEE International Conference on Multisensor…
- 1 September 2016
We propose a novel computational model of automatic landmark detection from a single image without any pre-defined landmark database. Expand