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TKDE
2010
168views more  TKDE 2010»
13 years 7 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
VC
2010
160views more  VC 2010»
13 years 7 months ago
A lightweight approach to repairing digitized polygon meshes
Abstract When designing novel algorithms for geometric processing and analysis, researchers often assume that the input conforms to several requirements. On the other hand, polygon...
Marco Attene
ICIP
2010
IEEE
13 years 6 months ago
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to neighbouring regions. Recently, a link shifti...
Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu
ICIP
2010
IEEE
13 years 6 months ago
Learning image similarities via Probabilistic Feature Matching
In this paper, we propose a novel image similarity learning approach based on Probabilistic Feature Matching (PFM). We consider the matching process as the bipartite graph matchin...
Ziming Zhang, Ze-Nian Li, Mark S. Drew
ACL
2009
13 years 6 months ago
Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging - A Case Study
Manually annotated corpora are valuable but scarce resources, yet for many annotation tasks such as treebanking and sequence labeling there exist multiple corpora with different a...
Wenbin Jiang, Liang Huang, Qun Liu