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» Generalization Error Bounds Using Unlabeled Data
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ACCV
2010
Springer
14 years 4 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
FUN
2010
Springer
247views Algorithms» more  FUN 2010»
15 years 2 months ago
A Fun Application of Compact Data Structures to Indexing Geographic Data
The way memory hierarchy has evolved in recent decades has opened new challenges in the development of indexing structures in general and spatial access methods in particular. In t...
Nieves R. Brisaboa, Miguel Rodríguez Luaces...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
ICALP
2011
Springer
14 years 1 months ago
On Tree-Constrained Matchings and Generalizations
We consider the following Tree-Constrained Bipartite Matching problem: Given two rooted trees T1 = (V1, E1), T2 = (V2, E2) and a weight function w : V1 × V2 → R+, find a maximu...
Stefan Canzar, Khaled M. Elbassioni, Gunnar W. Kla...
NN
2002
Springer
224views Neural Networks» more  NN 2002»
14 years 9 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa