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CVPR
2011
IEEE
9 years 3 months ago
Particle Filter with State Permutations for Solving Image Jigsaw Puzzles
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...
Xingwei Yang, Nagesh Adluru, LonginJan Latecki
PAMI
2010
248views more  PAMI 2010»
9 years 5 months ago
Coupled Prediction Classification for Robust Visual Tracking
—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...
Ioannis Patras, Edwin R. Hancock
JIRS
2000
121views more  JIRS 2000»
9 years 6 months ago
Entropy-Based Markov Chains for Multisensor Fusion
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...
Albert C. S. Chung, Helen C. Shen
TSMC
2008
113views more  TSMC 2008»
9 years 6 months ago
Distributed Diagnosis Under Bounded-Delay Communication of Immediately Forwarded Local Observations
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...
Wenbin Qiu, Ratnesh Kumar
MSS
2008
IEEE
89views Hardware» more  MSS 2008»
9 years 6 months ago
Axiomatization of an exponential similarity function
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...
Antoine Billot, Itzhak Gilboa, David Schmeidler
JMIV
2006
100views more  JMIV 2006»
9 years 6 months ago
Mixed-State Auto-Models and Motion Texture Modeling
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...
Patrick Bouthemy, C. Hardouin, Gwenaëlle Piri...
CORR
2007
Springer
137views Education» more  CORR 2007»
9 years 6 months ago
Cross-Matching Multiple Spatial Observations and Dealing with Missing Data
: 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...
Jim Gray, Alexander S. Szalay, Tamas Budavari, Rob...
CSDA
2006
95views more  CSDA 2006»
9 years 6 months ago
Identifying influential multinomial observations by perturbation
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 ...
S. O. Nyangoma, W.-K. Fung, R. C. Jansen
CORR
2010
Springer
125views Education» more  CORR 2010»
9 years 7 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
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...
Daniel Golovin, Andreas Krause, Debajyoti Ray
CORR
2010
Springer
154views Education» more  CORR 2010»
9 years 7 months ago
Causal Markov condition for submodular information measures
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...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
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