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ICCV
2011
IEEE
12 years 7 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
GD
2005
Springer
14 years 1 months ago
BLer: A Boundary Labeller for Technical Drawings
In technical drawings and medical drawings/maps it is often common to explain certain features of the drawing by blocks of text that are arranged on its boundary. Bekos et. al. int...
Michael A. Bekos, Antonios Symvonis
TON
2008
160views more  TON 2008»
13 years 7 months ago
Label space reduction in MPLS networks: how much can a single stacked label do?
Most network operators have considered reducing LSR label spaces (number of labels used) as a way of simplifying management of underlaying Virtual Private Networks (VPNs) and there...
Fernando Solano, Thomas Stidsen, Ramón Fabr...
SIGMOD
2010
ACM
171views Database» more  SIGMOD 2010»
13 years 7 months ago
An optimal labeling scheme for workflow provenance using skeleton labels
We develop a compact and efficient reachability labeling scheme for answering provenance queries on workflow runs that conform to a given specification. Even though a workflow run...
Zhuowei Bao, Susan B. Davidson, Sanjeev Khanna, Su...
NRHM
2002
67views more  NRHM 2002»
13 years 7 months ago
Finding hyper-structure in space: spatial parsing in 3D
Spatial parsers augment spatial hypermedia systems by letting the computer perceive the informal
Michael Bang Nielsen, Peter Ørbæk