1180 search results - page 51 / 236 » An Instance Selection Approach to Multiple Instance Learning |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...
TNN
1998
13 years 8 months ago
1998
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
AICT
2008
IEEE
13 years 11 months ago
2008
IEEE
Currently many service providers offer their services using a private and proprietary hard- and software infrastructure. These infrastructures often share many similarities. Hence...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...