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CVPR
2010
IEEE
14 years 1 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
EMMCVPR
2005
Springer
13 years 11 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
SAS
2005
Springer
132views Formal Methods» more  SAS 2005»
13 years 11 months ago
Generation of Basic Semi-algebraic Invariants Using Convex Polyhedra
A technique for generating invariant polynomial inequalities of bounded degree is presented using the abstract interpretation framework. It is based on overapproximating basic semi...
Roberto Bagnara, Enric Rodríguez-Carbonell,...
MP
2008
92views more  MP 2008»
13 years 5 months ago
Invariance and efficiency of convex representations
We consider two notions for the representations of convex cones: G-representation and liftedG-representation. The former represents a convex cone as a slice of another; the latter...
Chek Beng Chua, Levent Tunçel
ICML
2007
IEEE
14 years 6 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng