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PAMI
1998
116views more  PAMI 1998»
14 years 11 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 9 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
CORR
2011
Springer
198views Education» more  CORR 2011»
14 years 6 months ago
Kron Reduction of Graphs with Applications to Electrical Networks
Abstract. Consider a weighted and undirected graph, possibly with self-loops, and its corresponding Laplacian matrix, possibly augmented with additional diagonal elements correspon...
Florian Dörfler, Francesco Bullo
JMLR
2011
148views more  JMLR 2011»
14 years 6 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
JNS
2010
107views more  JNS 2010»
14 years 6 months ago
Ground States and Critical Points for Aubry-Mather Theory in Statistical Mechanics
We consider statistical mechanics systems defined on a set with some symmetry properties (namely, the set admits an action by a group, which is finitely generated and residually fi...
Rafael de La Llave, Enrico Valdinoci