Metric Labeling problems have been introduced as a model for understanding noisy data with pair-wise relations between the data points. One application of labeling problems with pa...
We address the problem of publishing parliamentary proceedings in a digital sustainable manner. We give an extensive requirements analysis, and based on that propose a uniform XML...
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
With mobile computing and powerful laptops, databases with sensitive data can be physically retrieved by malicious users who can employ techniques that were not previously thought...