AI
2010
Springer
13 years 11 months ago
2010
Springer
Today's computer-human interfaces are typically designed with the assumption that they are going to be used by an able-bodied person, who is using a typical set of input and ...
ATAL
2010
Springer
14 years 16 days ago
2010
Springer
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...
NIPS
1996
14 years 23 days ago
1996
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
NIPS
1994
14 years 23 days ago
1994
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
BMVC
2000
14 years 24 days ago
2000
A new parameter estimation method is presented, applicable to many computer vision problems. It operates under the assumption that the data (typically image point locations) are a...
EUSFLAT
2003
14 years 25 days ago
2003
A general formulation of the single machine scheduling problem with fuzzy parameters is proposed. Such notions as schedule, cost function and precedence relation are defined. The...
CSREAESA
2003
14 years 25 days ago
2003
: This paper develops a matching and scheduling algorithm that accounts for both the execution time and the power consumption of the application. The power consumption of different...
ESANN
2006
14 years 25 days ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
NIPS
2007
14 years 26 days ago
2007
In the online linear optimization problem, a learner must choose, in each round, a decision from a set D ⊂ Rn in order to minimize an (unknown and changing) linear cost function...
GRAPHICSINTERFACE
2008
14 years 26 days ago
2008
We address the problem of reconstructing the background of a scene from a set of photographs featuring several occluding objects. We assume that the photographs are obtained from ...