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CVPR
2012
IEEE
13 years 1 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
TCS
2008
14 years 10 months ago
Parikh matrices and amiable words
Using the fact that the Parikh matrix mapping is not an injective mapping, the paper investigates some properties of the set of words with the same Parikh matrix; these words are ...
Adrian Atanasiu, Radu Atanasiu, Ion Petre
TROB
2002
84views more  TROB 2002»
14 years 10 months ago
Spatial stiffness realization with parallel springs using geometric parameters
Abstract--This paper investigates the synthesis of a spatial stiffness matrix using simple line springs. A new algorithm is developed, which enables the selection of constituent sp...
Kinkwan Choi, Shilong Jiang, Zexiang Li
ICML
2006
IEEE
15 years 11 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
CVPR
2008
IEEE
16 years 23 days ago
Spectrally optimal factorization of incomplete matrices
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
Pedro M. Q. Aguiar, João M. F. Xavier, Mark...