63 search results - page 3 / 13 » Entropy Regularized LPBoost |
123
Voted
ARCS
2008
Springer
15 years 4 months ago
2008
Springer
Predictors essentially predicts the most recent events based on the record of past events, history. It is obvious that prediction performance largely relies on regularity
129
Voted
COLT
2006
Springer
15 years 4 months ago
2006
Springer
There are two main families of on-line algorithms depending on whether a relative entropy or a squared Euclidean distance is used as a regularizer. The difference between the two f...
118
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper we propose a novel feature, called directional entropy feature (DEF), to improve the performance of human detection under complicated background in images. DEF descr...
124
Voted
EXPCS
2007
15 years 6 months ago
2007
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
111
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...