“POOF: Part Based One-vs-One Features for Fine Grained Categorization, Face Verification, and Attribute Estimation” Thomas Berg and Peter Belhumeur CVPR.
An Exemplar Model For Learning Object Classes
Sparse Bayesian Learning for Efficient Visual Tracking O. Williams, A. Blake & R. Cipolloa PAMI, Aug. 2005. Presented by Yuting Qi Machine Learning Reading.
W HAT A RE W E T RACKING : A U NIFIED A PPROACH OF T RACKING AND R ECOGNITION Jialue Fan, Xiaohui Shen, Student Member, IEEE, and Ying Wu, Senior Member,
Sparse Bayesian Learning for Efficient Visual Tracking
Making sense of large amounts of molecular data
What Are We Tracking : A Unified Approach of Tracking and Recognition
