We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
We study the problem of estimating the best k term Fourier representation for a given frequency-sparse signal (i.e., vector) A of length N k. More explicitly, we investigate how t...
Multi-view scene reconstruction from multiple uncalibrated images can be solved by two stages of processing: first, a sparse reconstruction using Structure From Motion (SFM), and ...
Ping Li, Rene Klein Gunnewiek, Peter H. N. de With
We propose a new method for generating BDDs from hardware algorithm descriptions written in a programming language. Our system can deal with control structures, such as conditiona...
The goal of the research is creation of an adaptation mechanism for the delivery of threedimensional content. The adaptation of content, for various network and terminal capabilit...
HyungSeok Kim, Chris Joslin, Thomas Di Giacomo, St...