NIPS
2001
13 years 5 months ago
2001
We study properties of popular near
NIPS
2004
13 years 5 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
NIPS
2008
13 years 6 months ago
2008
We propose a novel bound on single-variable marginal probability distributions in factor graphs with discrete variables. The bound is obtained by propagating local bounds (convex ...
DAGSTUHL
2007
13 years 6 months ago
2007
A (randomized, anonymous) voting rule maps any multiset of total orders (aka. votes) over a fixed set of alternatives to a probability distribution over these alternatives. A voti...
CIMAGING
2008
13 years 6 months ago
2008
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
APPROX
2010
Springer
13 years 6 months ago
2010
Springer
: Let (C1, C1), (C2, C2), . . . , (Cm, Cm) be a sequence of ordered pairs of 2CNF clauses chosen uniformly at random (with repetition) from the set of all 4 n 2 clauses on n variab...
DCOSS
2008
Springer
13 years 6 months ago
2008
Springer
We consider a mobile sensor network monitoring a spatio-temporal field. Given limited caches at the sensor nodes, the goal is to develop a distributed cache management algorithm to...
ECCV
2006
Springer
13 years 8 months ago
2006
Springer
This paper is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from image...
ADMA
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
ESA
2007
Springer
13 years 8 months ago
2007
Springer
A token is hidden in one out of n boxes following some known probability distribution and then all the boxes are locked. The goal of a searcher is to find the token in at most D n...