30 search results - page 3 / 6 » An Algorithmic Theory of Learning: Robust Concepts and Rando... |
ICCV
2003
IEEE
14 years 8 months ago
2003
IEEE
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...
MM
2009
ACM
14 years 20 days ago
2009
ACM
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
FOCS
1990
IEEE
13 years 10 months ago
1990
IEEE
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
ALT
2003
Springer
14 years 3 months ago
2003
Springer
Solomonoff unified Occam’s razor and Epicurus’ principle of multiple explanations to one elegant, formal, universal theory of inductive inference, which initiated the field...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines (SVM) are used for the estimation of the projectio...