Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
M. Schmidt, K. Murphy
UAI'09
Slides
Group Sparse Priors for Covariance Estimation
B. Marlin, M. Schmidt, K. Murphy
UAI'09
Poster
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
D. Cobzas, M. Schmidt
CVPR'09
Poster
Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected
Quasi-Newton Algorithm
M. Schmidt, E. van den Berg, M. Friedlander, K. Murphy
AISTATS'09 (Best Paper Award)
Slides Software
Examples
Structure Learning in
Random Fields for Heart Motion Abnormality Detection
M. Schmidt, K. Murphy, G. Fung, R. Rosales
CVPR'08
Poster
Software
Addendum
An interior-point stochastic approximation method and an L1-regularized delta rule
P. Carbonetto, M. Schmidt, N. de Freitas
NIPS'08
Slides
Software
Fast Optimization Methods for L1-Regularization: A Comparative Study
and 2 New Approaches
M. Schmidt, G. Fung, R. Rosales
ECML'07
Slides
Talk
Software
Examples
Addendum
Extended Version
Learning Graphical Model Structure using
L1-Regularization Paths
M. Schmidt,
A. Niculescu-Mizil, K Murphy.
AAAI'07
Software Addendum.
Accelerated Training
of Conditional Random Fields
with Stochastic Gradient Methods
S. Vishwanathan,
N. Schraudolph,
M. Schmidt,
K. Murphy
ICML'06
Software Slides.
Support Vector Random Fields for Spatial Classification
C.-H. Lee, R. Greiner, M. Schmidt
PKDD'05
Presentation
Optimization Methods for L1-Regularization
M. Schmidt, G. Fung, R. Rosales
UBC TR-2009-19
Software
Examples
A Note on Structural Extensions of SVMs
M. Schmidt
Group
Sparsity via Linear-Time Projection
E. van den Berg, M. Schmidt. M. Friedlander, K. Murphy
UBC TR-2008-09
Software
Two Dual Problems to L1-Regularized Least Squares
M. Schmidt
3D Variational Brain Tumor Segmentation using a High Dimensional Feature
Set
D. Cobzas, N. Birkbeck, M. Schmidt, M. Jagersand, A. Murtha.
MMBIA'07
Online
Material with images and demo.
LassoOrderSearch:
Learning Directed Graphical Model Structure using L1-Penalized Regression and
Order Search
M. Schmidt, K. Murphy
NIPS'06 Workshop on Causality and Feature Selection
A
Classification-based Glioma Diffusion Model Using MRI Data
M. Morris,
R. Greiner,
J. Sander,
A. Murtha,
M. Schmidt
CAI'06
Segmenting
Brain Tumors using Conditional Random Fields and Support Vector Machines
C.-H. Lee, M. Schmidt, A. Murtha, A. Bistritz, J. Sander, R. Greiner.
ICCV'05 Workshop on Computer Vision for Biomedical Image Applications
Poster
Segmenting
Brain Tumors using Alignment-Based Features
M. Schmidt, I. Levner, R. Greiner, A. Murtha, A. Bistritz
ICMLA'05
Automatic
Brain Tumor Segmentation
M. Schmidt
MSc Thesis '05