Sciweavers

1180 search results - page 108 / 236
» An Instance Selection Approach to Multiple Instance Learning
Sort
View
ECCV
2002
Springer
15 years 11 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
AAAI
1998
14 years 11 months ago
Multi Machine Scheduling: An Agent-Based Approach
Scheduling of multiple parallel machinesin the face of sequence dependent setups and downstream considerations is a hard problem. No single efficient algorithm is guaranteedto pro...
Rama Akkiraju, Pinar Keskinocak, Sesh Murthy, Fred...
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
15 years 10 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
FGCS
2006
113views more  FGCS 2006»
14 years 10 months ago
Performance feature identification by comparative trace analysis
This work introduces a method for instrumenting applications, producing execution traces, and visualizing multiple trace instances to identify performance features. The approach p...
Daniel P. Spooner, Darren J. Kerbyson
ICML
2010
IEEE
14 years 11 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher