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» Structural Learning of Activities from Sparse Datasets
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146
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CVPR
2008
IEEE
16 years 4 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
88
Voted
ICALT
2008
IEEE
15 years 9 months ago
A Learning Environment for Promoting Structured Algebraic Thinking in Children
Although the notion of generality is central in mathematics and science, being able to identify and express general patterns and/or articulating structures is one of the main difï...
Sergio Gutiérrez Santos, Manolis Mavrikis, ...
111
Voted
WWW
2005
ACM
16 years 3 months ago
Designing learning services: from content-based to activity-based learning systems
The need for e-learning systems that support a diverse set of pedagogical requirements has been identified as an important issue in web-based education. Until now, significant R&a...
Pythagoras Karampiperis, Demetrios G. Sampson
141
Voted
UAI
2008
15 years 4 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
139
Voted
AAAI
2011
14 years 2 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi