Geof H. Givens
Computer Vision and Pattern Recognition · 1996–2013
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
- Statistics and Probability — 5 citations into it
Whom Geof H. Givens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adrian F. M. Smith
- Alan E. Gelfand
- Dorin Comaniciu
- Bernard Walter Silverman
- James O. Berger
- Andrew Gelman
- Peter Meer
Who trusts Geof H. Givens overall
- P. de Valpine
- Arnaud Doucet
- Pierre Del Moral
- Jane Liu
- Verena M. Trenkel
- Ø. Skare
- Ingmar Schuster
- Matthew West
- Nando de Freitas
- David A. Elston
Papers from Geof H. Givens's perspective
Ordered by how strongly the researchers Geof H. Givens trusts endorse each paper. Same corpus, a different order for every researcher.
- Mean Shift: A Robust Approach Toward Feature Space Analysis
- Robust analysis of feature spaces: color image segmentation
- Face recognition: A literature survey (CSUR)
- The FERET evaluation methodology for face-recognition algorithms
- Overview of the face recognition grand challenge (Computer Vision and Pattern Recognition)
- Face recognition using Eigenfaces
- Density Estimation for Statistics and Data Analysis
- Factors that influence algorithm performance in the Face Recognition Grand Challenge
- Performance of Biometric Quality Measures (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
Their papers
- Nonparametric Density Estimation (2013) — 219 citations
- Introduction to Face Recognition and Evaluation of Algorithm Performance | NIST (2013) — 31 citations
- FRVT 2006: Quo Vadis face quality (2010) — 40 citations
- Factors that influence algorithm performance in the Face Recognition Grand Challenge (2009) — 100 citations
- Local Adaptive Importance Sampling for Multivariate Densities with Strong Nonlinear Relationships (1996)