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» Improving Rule Evaluation Using Multitask Learning
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CVPR
2008
IEEE
16 years 2 months ago
Learning realistic human actions from movies
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Be...
DAGM
2007
Springer
15 years 6 months ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
15 years 6 months ago
A Violin Music Transcriber for Personalized Learning
This paper presents a new version of our violin music transcriber [1] to support personalized learning. The proposed method is designed to detect duo-pitch (two strings being bowe...
Wei Jie Jonathan Boo, Ye Wang, Alex Loscos
145
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ATAL
2006
Springer
15 years 4 months ago
A computer-supported cooperative learning system with multiagent intelligence
In this paper, we describe an innovative infrastructure to support student participation and collaboration and help the instructor manage large or distance classrooms using multia...
Leen-Kiat Soh, Nobel Khandaker, Xuliu Liu, Hong Ji...
85
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GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 6 months ago
ATNoSFERES revisited
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
Samuel Landau, Olivier Sigaud, Marc Schoenauer