Sparse deep belief net model for visual area V2
Motivated in part by the hierarchical organization of the cortex, a number of al-gorithms have recently been proposed that try to learn hierarchical, or “deep,” structure from u...
Publications
4 shownLearning hierarchical representations for face verification with convolutional deep belief networks
Most modern face recognition systems rely on a feature representation given by a hand-crafted image descriptor, such as Local Binary Patterns (LBP), and achieve improved perform...
Learning to Align from Scratch
Unsupervised joint alignment of images has been demonstrated to improve performance on recognition tasks such as face verification. Such alignment reduces undesired variability ...
Near Real-Time Intraoperative Brain Tumor Diagnosis Using Stimulated Raman Histology and Deep Neural Networks
INTRODUCTION: Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery. The existing workflow for intraoperative diagnosis based on H&E ...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 1,618
- Institution
- Stanford University
External Links
Identifiers
- ORCID
- 0000-0002-1279-0068
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.