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» Learning Models for Predicting Recognition Performance
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
12 years 21 days 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
COLING
2002
13 years 10 months ago
The Computation of Word Associations: Comparing Syntagmatic and Paradigmatic Approaches
It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze th...
Reinhard Rapp
ICIP
2006
IEEE
14 years 12 months ago
Tracking Motion-Blurred Targets in Video
Many emerging applications require tracking targets in video. Most existing visual tracking methods do not work well when the target is motion-blurred (especially due to fast moti...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...
IUI
2004
ACM
14 years 3 months ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
ATAL
2007
Springer
14 years 4 months ago
An adaptive strategy for minority games
Many real life situations, like the financial market, auctions and resources competitions, can be modeled as Minority Games. In minority games, players choose to join one of the ...
Ka-man Lam, Ho-fung Leung