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ICML
2005
IEEE
16 years 7 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
DAWAK
2008
Springer
15 years 8 months ago
Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams
Abstract. We investigate the problem of finding frequent patterns in a continuous stream of transactions. It is recognized that the approximate solutions are usually sufficient and...
Willie Ng, Manoranjan Dash
AUSAI
2008
Springer
15 years 8 months ago
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
James R. Foulds, Eibe Frank
VISAPP
2008
15 years 7 months ago
Pose Clustering From Stereo Data
Abstract. This article describes an algorithm for pose or motion estimation based on clustering of parameters in the six-dimensional pose space. The parameter samples are computed ...
Ulrich Hillenbrand
CHI
2006
ACM
16 years 6 months ago
Few-key text entry revisited: mnemonic gestures on four keys
We present a new 4-key text entry method that, unlike most few-key methods, is gestural instead of selection-based. Importantly, its gestures mimic the writing of Roman letters fo...
Jacob O. Wobbrock, Brad A. Myers, Brandon Rothrock