<--- Back to Details
First PageDocument Content
George Papandreou / Karolos Papoulias / Georgios Papandreou / Papandreou / Cyprus dispute / Giorgos Papakonstantinou / Maria Damanaki / Greek economy referendum / Andreas Papandreou / Politics of Greece / Greece / Government
Date: 2014-08-23 19:31:22
George Papandreou
Karolos Papoulias
Georgios Papandreou
Papandreou
Cyprus dispute
Giorgos Papakonstantinou
Maria Damanaki
Greek economy referendum
Andreas Papandreou
Politics of Greece
Greece
Government

Add to Reading List

Source URL: www.minpress.gr

Download Document from Source Website

File Size: 257,12 KB

Share Document on Facebook

Similar Documents

Rethinking Atrous Convolution for Semantic Image Segmentation George Papandreou Florian Schroff Hartwig Adam Google Inc. {lcchen, gpapan, fschroff, hadam}@google.com  arXiv:1706.05587v3 [cs.CV] 5 Dec 2017

Rethinking Atrous Convolution for Semantic Image Segmentation George Papandreou Florian Schroff Hartwig Adam Google Inc. {lcchen, gpapan, fschroff, hadam}@google.com arXiv:1706.05587v3 [cs.CV] 5 Dec 2017

DocID: 1tNHY - View Document

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation George Papandreou Florian Schroff Hartwig Adam Google Inc. {lcchen, yukun, gpapan, fschroff, hadam}@google.com

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation George Papandreou Florian Schroff Hartwig Adam Google Inc. {lcchen, yukun, gpapan, fschroff, hadam}@google.com

DocID: 1tJ7R - View Document

Gaussian sampling by local perturbations  George Papandreou Department of Statistics University of California, Los Angeles

Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles

DocID: 1rp7V - View Document

Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models – ICCV 2011 paper supplementary material – George Papandreou and Alan Yuille Department of Statistics, University of C

Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models – ICCV 2011 paper supplementary material – George Papandreou and Alan Yuille Department of Statistics, University of C

DocID: 1pD5m - View Document

Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection George Papandreou Google  Iasonas Kokkinos and Pierre-Andr´e Savalle

Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection George Papandreou Google Iasonas Kokkinos and Pierre-Andr´e Savalle

DocID: 1fIOd - View Document