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» Measuring Learning Object Reuse
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CVPR
2006
IEEE
16 years 4 months ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Clustering of Video Objects by Graph Matching
We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) which can represent the content of video sequence. Unlike existing ones which consider main...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang
122
Voted
NIPS
2007
15 years 4 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
120
Voted
TLT
2010
91views more  TLT 2010»
15 years 27 days ago
Information Architecture and Design Solutions Scaffolding Authoring of Open Educational Resources
—This paper presents the open learning object repository and collaborative authoring platform LeMill (http://lemill.net), which has over 7,500 members and over 8,500 reusable lea...
Teemu Leinonen, Jukka Purma, Hans Poldoja, Tarmo T...
131
Voted
UAI
2008
15 years 4 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...