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» Pruning Training Sets for Learning of Object Categories
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KDD
2012
ACM
247views Data Mining» more  KDD 2012»
11 years 11 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
ECCV
2010
Springer
13 years 7 months ago
Supervised Label Transfer for Semantic Segmentation of Street Scenes
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
Honghui Zhang, Jianxiong Xiao, Long Quan
CRV
2009
IEEE
158views Robotics» more  CRV 2009»
14 years 3 months ago
Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search
This paper presents a spatial-semantic modeling system featuring automated learning of object-place relations from an online annotated database, and the application of these relat...
Pooja Viswanathan, David Meger, Tristram Southey, ...
GIS
2007
ACM
14 years 10 months ago
Proximity queries in large traffic networks
In this paper, we present an original network graph embedding to speed-up distance-range and k-nearest neighbor queries in (weighted) graphs. Our approach implements the paradigm ...
Hans-Peter Kriegel, Matthias Renz, Peer Kröge...
CIVR
2007
Springer
154views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Representing shape with a spatial pyramid kernel
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz