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» A Generative Probabilistic OCR Model for NLP Applications
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SCALESPACE
2007
Springer
14 years 1 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
INFOCOM
2006
IEEE
14 years 1 months ago
Establishing Pair-Wise Keys in Heterogeneous Sensor Networks
— Many applications that make use of sensor networks require secure communication. Because asymmetric-key solutions are difficult to implement in such a resource-constrained env...
Patrick Traynor, Heesook Choi, Guohong Cao, Sencun...
ICDAR
2003
IEEE
14 years 28 days ago
Parsing N-Best Lists of Handwritten Sentences
This paper investigates the application of a probabilistic parser for natural language on the list of the Nbest sentences produced by an off-line recognition system for cursive h...
Matthias Zimmermann, Jean-Cédric Chappelier...
BMCBI
2007
127views more  BMCBI 2007»
13 years 7 months ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
PAMI
2007
166views more  PAMI 2007»
13 years 7 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila