A fully pipelined systolic array structure for multidimensional adaptive filtering is proposed. It utilizes the wellknown McClellan Transformation (MT) to reduce the total number ...
This article proposes a new framework to regularize linear inverse problems using the total variation on non-local graphs. This nonlocal graph allows to adapt the penalization to t...
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
Template matching is one of the key problems in computer vision and has been widely used in tracking, recognition and many other applications. Traditional methods are usually slow...
The current Internet only supports best-effort traffic. New high-speed technologies such as ATM (asynchronous transfer mode), gigabit Ethernet, fast Ethernet, and frame relay, have...
Bobby Vandalore, Wu-chi Feng, Raj Jain, Sonia Fahm...