963 search results - page 44 / 193 » Active Learning by Labeling Features |
CVPR
2012
IEEE
12 years 2 days ago
2012
IEEE
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
GFKL
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
SDM
2011
SIAM
13 years 14 days ago
2011
SIAM
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
FGR
2011
IEEE
13 years 1 months ago
2011
IEEE
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...