Infomation:
PhD Student, AI Lab, Department of Computer Science, Stanford University.
Advisor: Professor Andrew Ng.
Address: Room 112, Gates Building 1A, Stanford CA 94305.
Email: someone@somewhere where someone is quocle and somewhere is stanford.edu
I did my undergraduate degree at ANU & NICTA (Canberra, Australia), under the supervision of Professor Alex Smola.
I was also a research visitor at Dept Schölkopf, Max Planck Institute for Biological Cybernetics (Tübingen, Germany).
(Almost complete bibfile)
All publications
Recent publications:
Measuring invariances in deep networks
NIPS, 2009.
[PDF]
Topics: invariances, unsupervised learning, neural networks.
Scalable Learning for Object Detection with GPU Hardware.
IROS, 2009.
[PDF]
Topics: object detection, special hardware, GPUs.
Joint calibration of multiple sensors.
IROS, 2009.
[PDF]
Topics: robotic sensor calibration.
High Accuracy 3D Sensing for Mobile Manipulation: Improving Object Detection and Door Opening.
ICRA, 2009.
[PDF]
Topics: 3D sensing hardware, object detection, manipulation.
Bundle Methods for Regularized Risk Minimization.
JMLR (To appear), 2009.
[PDF]
[Code]
Topics: learning and large-scale optimization.
Notes: previous shorter versions appeared in KDD and NIPS with Appendix
Estimating Labels from Label Proportions.
JMLR (To appear), 2009.
[PDF]
Topics: Gaussian Process classification, transduction, semi-supervised learning, prior knowledge.
Notes: a previous shorter version appeared in ICML
Proximal regularization for online and batch learning.
ICML, 2009.
[PDF (short)]
[PDF (longer)]
Topics: learning and optimization.
Learning Graph Matching.
PAMI, 2009.
[PDF], [Digital library link], [Code]
Topics: graph matching, structured estimation.
Tighter Bounds for Structured Estimation.
NIPS 21, 2009.
[PDF]
Topics: structured estimation, computational biology, ranking.
People (coauthors and friends):
Talks:
Software:
Links:
Misc: