2512 search results - page 19 / 503 » Learning from Highly Structured Data by Decomposition |
HUC
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
79
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
76
Voted
BMCBI
2004
14 years 9 months ago
2004
Background: Two of the mostly unsolved but increasingly urgent problems for modern biologists are a) to quickly and easily analyse protein structures and b) to comprehensively min...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
86
Voted
IJCV
2010
14 years 8 months ago
2010
We present an information theoretic approach to define the problem of structure from motion (SfM) as a blind source separation one. Given that for almost all practical joint densi...