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» Dataset Issues in Object Recognition
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I3
2007
13 years 10 months ago
Performing Object Consolidation on the Semantic Web Data Graph
An important aspect of Semantic Web technologies is the issue of identity and uniquely identifying resources, which is essential for integrating data across sources. Currently, th...
Aidan Hogan, Andreas Harth, Stefan Decker
ICCV
2003
IEEE
14 years 11 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
ICPR
2006
IEEE
14 years 10 months ago
A Semi-supervised SVM for Manifold Learning
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
Zhili Wu, Chun-hung Li, Ji Zhu, Jian Huang
ICIP
2010
IEEE
13 years 7 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen
PAMI
2010
249views more  PAMI 2010»
13 years 7 months ago
Fast Keypoint Recognition Using Random Ferns
While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle pe...
Mustafa Özuysal, Michael Calonder, Vincent Le...