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» Measuring and Predicting Object Importance
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CIKM
2010
Springer
14 years 9 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
ICIP
2009
IEEE
16 years 7 days ago
Robust Visual Tracking Based On Simplified Biologically Inspired Features
We address the problem of robust appearance-based visual tracking. First, a set of simplified biologically inspired features (SBIF) is proposed for object representation and the B...
ICPR
2008
IEEE
15 years 5 months ago
Removing salt-and-pepper noise from binary images of engineering drawings
Removing noise in engineering drawing images is important before applying image analysis processes. Noise should be removed while keeping the fine detail of the image intact. A n...
Hasan S. M. Al-Khaffaf, Abdullah Zawawi Talib, Ros...
ICIP
2007
IEEE
15 years 5 months ago
Corner Detection of Contour Images using Spectral Clustering
Corner detection plays an important role in object recognition and motion analysis. In this paper, we propose a hierarchical corner detection framework based on spectral clusterin...
Xi Li, Weiming Hu, Zhongfei Zhang
ACCV
2007
Springer
15 years 5 months ago
Spatiotemporal Oriented Energy Features for Visual Tracking
This paper presents a novel feature set for visual tracking that is derived from “oriented energies”. More specifically, energy measures are used to capture a target’s multi...
Kevin Cannons, Richard Wildes