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» INSPIRE: A New Method of Mapping Information Spaces
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IJCNN
2006
IEEE
16 years 10 days ago
Optimal In-Place Learning and the Lobe Component Analysis
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
Juyang Weng, Nan Zhang 0002
IH
1999
Springer
15 years 10 months ago
Robust Watermarking for Images Based on Color Manipulation
Abstract. In this paper we present a new efficient watermarking scheme for images. The basic idea of our method is to alter the colors of the given image in a suitable but imperce...
Sebastiano Battiato, Dario Catalano, Giovanni Gall...
IJCAI
2007
15 years 7 months ago
From Sampling to Model Counting
We introduce a new technique for counting models of Boolean satisfiability problems. Our approach incorporates information obtained from sampling the solution space. Unlike previ...
Carla P. Gomes, Jörg Hoffmann, Ashish Sabharw...
ICIAR
2004
Springer
15 years 11 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
IJCAI
2003
15 years 7 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand