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CVPR
2009
IEEE
15 years 3 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
LREC
2008
144views Education» more  LREC 2008»
13 years 10 months ago
A Hybrid Morphology-Based POS Tagger for Persian
In many applications of natural language processing (NLP) grammatically tagged corpora are needed. Thus Part of Speech (POS) Tagging is of high importance in the domain of NLP. Ma...
Mehrnoush Shamsfard, Hakimeh Fadaei
SCALESPACE
2007
Springer
14 years 2 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
IDA
1999
Springer
14 years 1 months ago
Reasoning about Input-Output Modeling of Dynamical Systems
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Matthew Easley, Elizabeth Bradley
MSV
2007
13 years 10 months ago
FMC-QE: A New Approach in Quantitative Modeling
Abstract—Service requests are the origin of every service provisioning process and therefore the entities to be considered first. Similar to Physics and Engineering Sciences, ser...
Werner Zorn