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» Pattern Recognition Using Functions of Multiple Instances
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PRL
2008
82views more  PRL 2008»
13 years 6 months ago
Optimistic pruning for multiple instance learning
This paper introduces a simple evaluation function for multiple instance learning that admits an optimistic pruning strategy. We demonstrate comparable results to state of the art...
Amy McGovern, David Jensen
SARA
2005
Springer
13 years 11 months ago
Solving the 24 Puzzle with Instance Dependent Pattern Databases
A pattern database (PDB) is a heuristic function in a form of a lookup table which stores the cost of optimal solutions for instances of subproblems. bproblems are generated by abs...
Ariel Felner, Amir Adler
IBPRIA
2005
Springer
13 years 11 months ago
Real-Time Tracking Using Multiple Target Models
Using Comaniciu et al.’s approach as a basis, [9], this paper presents a real-time tracking technique in which a multiple target model is used. The use of a multiple model shall ...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
ICML
2010
IEEE
13 years 7 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 8 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich