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CVPR
2012
IEEE
13 years 8 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
IIE
2006
121views more  IIE 2006»
15 years 6 months ago
High School Teachers' Course Designs and Their Professional Knowledge of Online Teaching
This paper deals with the process of expanding the virtual secondary education school network, aiming to provide daily basis, online teaching. The context of this research is the E...
Teemu Valtonen, Jari Kukkonen, Anu Wulff
WEBNET
2000
15 years 7 months ago
How the Wild Wide Web was Won: Online Web Developer Training
: As the Web grows in importance in institutional settings, so does the need for training. Universities are looking at the daunting task of putting more information and services on...
John Sharkey, Kitzzy Aviles, Barbara Ferguson
COLT
2001
Springer
15 years 11 months ago
Ultraconservative Online Algorithms for Multiclass Problems
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Koby Crammer, Yoram Singer

Publication
252views
15 years 9 months ago
Context models on sequences of covers
We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approac...
Christos Dimitrakakis