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» On the convergence of Hill's method
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ECCV
2002
Springer
14 years 9 months ago
An Affine Invariant Interest Point Detector
This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such...
Krystian Mikolajczyk, Cordelia Schmid
ICML
2007
IEEE
14 years 8 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
ICML
2004
IEEE
14 years 8 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
CHI
2009
ACM
14 years 8 months ago
Programming reality: from transitive materials to organic user interfaces
Over the past few years, a quiet revolution has been redefining our fundamental computing technologies. Flexible E-Ink, OLED displays, shape-changing materials, parametric design,...
Marcelo Coelho, Ivan Poupyrev, Sajid Sadi, Roel Ve...
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
14 years 7 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen