Sciweavers

4930 search results - page 43 / 986
» Learning minimal abstractions
Sort
View
ICML
1999
IEEE
16 years 1 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
113
Voted
MICCAI
2001
Springer
15 years 4 months ago
Exploiting Voxel Correlation for Automated MRI Bias Field Correction by Conditional Entropy Minimization
Abstract. An unsupervised model-based strategy for bias field correction is proposed. We assume that information (in the sense of the information theory) in the corrupted image is...
Eduardo Solanas, Jean-Philippe Thiran
CORR
2011
Springer
124views Education» more  CORR 2011»
14 years 7 months ago
Redundancy of minimal weight expansions in Pisot bases
Abstract. Motivated by multiplication algorithms based on redundant number representations, we study representations of an integer n as a sum n = k εkUk, where the digits εk are ...
Peter J. Grabner, Wolfgang Steiner
101
Voted
DDECS
2007
IEEE
139views Hardware» more  DDECS 2007»
15 years 6 months ago
Debug Patterns for Efficient High-level SystemC Debugging
This paper proposes debug patterns combined with an intuitive flow to accelerate and simplify the debugging of SystemC designs. A debug pattern provides a formalized procedure to f...
Frank Rogin, Erhard Fehlauer, Christian Haufe, Seb...
112
Voted
ICIP
2001
IEEE
16 years 2 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath