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TCOM
2010
106views more  TCOM 2010»
15 years 8 days ago
Achievable information rates for channels with insertions, deletions, and intersymbol interference with i.i.d. inputs
—We propose to use various trellis structures to characterize different types of insertion and deletion channels. We start with binary independent and identically distributed (i....
Jun Hu, Tolga M. Duman, M. Fatih Erden, Aleksandar...
106
Voted
ISBI
2008
IEEE
16 years 2 months ago
Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI
Within-subject analysis in fMRI relies on both (i) a detection step to localize which parts of the brain are activated by a given stimulus type, and on (ii) an estimation step to ...
Thomas Vincent, Philippe Ciuciu, Bertrand Thirion
ECCV
2004
Springer
16 years 3 months ago
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations
Abstract. A dynamic visual search framework based mainly on innerscene similarity is proposed. Algorithms as well as measures quantifying the difficulty of search tasks are suggest...
Tamar Avraham, Michael Lindenbaum
142
Voted
CVPR
2010
IEEE
15 years 5 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
150
Voted
JMLR
2012
13 years 4 months ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...