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» Two Algorithms for Inducing Causal Models from Data
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ICCV
2001
IEEE
15 years 12 months ago
Determining Reflectance Parameters and Illumination Distribution from a Sparse Set of Images for View-dependent Image Synthesis
A framework for photo-realistic view-dependent image synthesis of a shiny object from a sparse set of images and a geometric model is proposed. Each image is aligned with the 3D m...
Ko Nishino, Zhengyou Zhang, Katsushi Ikeuchi
CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 10 months ago
Algorithmic Verification of Single-Pass List Processing Programs
We introduce streaming data string transducers that map input data strings to output data strings in a single left-to-right pass in linear time. Data strings are (unbounded) seque...
Rajeev Alur, Pavol Cerný
ACL
2006
14 years 11 months ago
Discriminative Word Alignment with Conditional Random Fields
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...
Phil Blunsom, Trevor Cohn
JMLR
2011
192views more  JMLR 2011»
14 years 4 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
ECCV
2000
Springer
15 years 11 months ago
Improvements to Gamut Mapping Colour Constancy Algorithms
Abstract. In his paper we introduce two improvements to the threedimensional gamut mapping approach to computational colour constancy. This approach consist of two separate parts. ...
Kobus Barnard