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126
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ICML
2004
IEEE
16 years 3 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson
97
Voted
MP
2006
84views more  MP 2006»
15 years 2 months ago
On the behavior of the homogeneous self-dual model for conic convex optimization
Abstract. There is a natural norm associated with a starting point of the homogeneous selfdual (HSD) embedding model for conic convex optimization. In this norm two measures of the...
Robert M. Freund
144
Voted
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
15 years 9 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
NIPS
2000
15 years 3 months ago
Improved Output Coding for Classification Using Continuous Relaxation
Output coding is a general method for solving multiclass problems by reducing them to multiple binary classification problems. Previous research on output coding has employed, alm...
Koby Crammer, Yoram Singer
AISB
1995
Springer
15 years 6 months ago
The Ant Colony Metaphor for Searching Continuous Design Spaces
This paper describes a form of dynamical computational system--4he ant colony---and presents an ant colony model for continuous space optimisation problems. The ant colony metapho...
George Bilchev, Ian C. Parmee