Sciweavers

428 search results - page 7 / 86
» Machine Learning, Machine Vision, and the Brain
Sort
View

Publication
110views
13 years 6 months ago
EM in High Dimensional Spaces
B. Draper, D.L. Elliott, J. Hayes, and K. Baek
ICASSP
2011
IEEE
12 years 11 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
ICALT
2006
IEEE
14 years 1 months ago
Highly Adaptive Learning for All - Vision and Plan
One of the major global problems is bringing learning to everyone on earth, at all ages. Current lockstep cookie-cuter approaches will not accomplish this, because students differ...
Alfred Bork
ICCV
2009
IEEE
13 years 5 months ago
Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines
Measuring image similarity is a central topic in computer vision. In this paper, we learn similarity from Flickr groups and use it to organize photos. Two images are similar if th...
Gang Wang, Derek Hoiem, David A. Forsyth
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 29 days ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko