Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Computational complexity has been the primary challenge of many VLSI CAD applications. The emerging multicore and manycore microprocessors have the potential to offer scalable perf...
In the setting of secure multiparty computation, a set of parties wish to to jointly compute some function of their input (i.e., they wish to securely carry out some distributed t...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Energy-minimizing active contour models (snakes) have been proposed for solving many computer vision problems such as object segmentation, surface reconstruction, and object track...