CVPR
2011
IEEE
13 years 8 months ago
2011
IEEE
We deal with an image jigsaw puzzle problem, which is defined as reconstructing an image from a set of square and non-overlapping image patches. It is known that a general instan...
PAMI
2010
13 years 10 months ago
2010
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
JIRS
2000
14 years 6 days ago
2000
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
TSMC
2008
14 years 9 days ago
2008
In this paper, we study distributed failure diagnosis under k-bounded communication delay, where each local site transmits its observations to other sites immediately after each o...
MSS
2008
IEEE
14 years 11 days ago
2008
IEEE
An individual is asked to assess a real-valued variable y based on certain characteristics x=(x1 ,..., xm ), and on a database consisting of n observations of (x1 ,..., xm , y). A...
JMIV
2006
14 years 11 days ago
2006
In image motion analysis as well as for several application fields like daily pluviometry data modeling, observations contain two components of different nature. A first part is ma...
CORR
2007
Springer
14 years 12 days ago
2007
Springer
: Cross-match spatially clusters and organizes several astronomical point-source measurements from one or more surveys. Ideally, each object would be found in each survey. Unfortun...
CSDA
2006
14 years 13 days ago
2006
The assessment of the influence of individual observations on the outcome of the analysis by perturbation has received a lot of attention for situations in which the observations ...
CORR
2010
Springer
14 years 15 days ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
CORR
2010
Springer
14 years 15 days ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...