2230 search results - page 228 / 446 » Reformulating Constraint Models Using Input Data |
139
click to vote
ICIP
1998
IEEE
16 years 4 months ago
1998
IEEE
In this work, a framework for the reconstruction of smooth surface shapes from shading images is presented. The method is based on using a backpropagationbased neural network for ...
116
click to vote
SP
2008
IEEE
15 years 9 months ago
2008
IEEE
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
119
Voted
ICCV
2005
IEEE
15 years 8 months ago
2005
IEEE
Recognition of specular objects is particularly difficult because their appearance is much more sensitive to lighting changes than that of Lambertian objects. We consider an appr...
112
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
118
click to vote
PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...