Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Abstract—In this paper, we consider a robust design of MIMOrelay precoder and receive filter for the destination nodes in a non-regenerative multiple-input multiple-output (MIMO...
Temporal planning (TP) is notoriously difficult because it requires to solve a propositional STRIPS planning problem with temporal constraints. In this paper, we propose an efficie...
Abstract. Starting from existing spreadsheet software, like Lotus 1-23R , ExcelR , or Spreadsheet 2000R , we propose a sequence of enhancements to fully integrate constraint-based ...