5 search results - page 1 / 1 » Multiple-Instance Learning via Disjunctive Programming Boost... |
NIPS
2003
13 years 5 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
Pedestrian detection in still image should handle the large appearance and pose variations arising from the articulated structure and various clothing of human bodies as well as v...
AUSAI
2008
Springer
13 years 6 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
ACML
2009
Springer
13 years 8 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
ML
2002
ACM
13 years 4 months ago
2002
ACM
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...