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» Some new iterative methods with three-order convergence
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CVPR
2011
IEEE
13 years 2 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
IFL
1999
Springer
108views Formal Methods» more  IFL 1999»
13 years 11 months ago
Optimising Recursive Functions Yielding Multiple Results in Tuples in a Lazy Functional Language
Abstract. We discuss a new optimisation for recursive functions yielding multiple results in tuples for lazy functional languages, like Clean and Haskell. This optimisation improve...
John H. G. van Groningen
PAMI
2010
180views more  PAMI 2010»
13 years 2 months ago
Point Set Registration via Particle Filtering and Stochastic Dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithms...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
TSP
2010
13 years 2 months ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan
LICS
2009
IEEE
14 years 2 months ago
Clipping: A Semantics-Directed Syntactic Approximation
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
Dan R. Ghica, Adam Bakewell