Segmenting Brain Tumors Using Pseudo–Conditional Random Fields

Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

John Lafferty, Andrew McCallum, Fernando C. N. Pereira · Scholarly Commons (University of Pennsylvania) · 2001 · 13K citations · Full text

Computing, Computer Science, Computational Linguistics +12

Advances in kernel methods: support vector learning

Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola · 1999 · 5.8K citations

Computing, Computer Science, Data Mining +16

Making Large-Scale SVM Learning Practical

Thorsten Joachims · Technical reports · 2006 · 4.3K citations · Full text

Computing, Computer Science, Algorithms +16

On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes

Andrew Y. Ng, Michael I. Jordan · 2001 · 1.9K citations

Computing, Computer Science, Artificial Intelligence +14

Fast approximate energy minimization via graph cuts

Yuri Boykov, Olga Veksler, Ramin Zabih · 1999 · 472 citations

Computing, Computer Science, Algorithms +7