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ICRA
2002
IEEE
106views Robotics» more  ICRA 2002»
14 years 14 days ago
Stochastic Mapping Frameworks
— Stochastic mapping is an approach to the concurrent mapping and localization (CML) problem. The approach is powerful because feature and robot states are explicitly correlated....
Richard J. Rikoski, John J. Leonard, Paul M. Newma...
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
TIP
2008
124views more  TIP 2008»
13 years 7 months ago
GAFFE: A Gaze-Attentive Fixation Finding Engine
Abstract-- The ability to automatically detect visually interesting regions in images has many practical applications, especially in the design of active machine vision and automat...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
ECCV
2010
Springer
14 years 12 days ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
VIS
2004
IEEE
148views Visualization» more  VIS 2004»
14 years 8 months ago
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data
In this article we explore techniques to detect and visualize features in data from molecular dynamics (MD) simulations. Although the techniques proposed are general, we focus on ...
John Wilkins, Kaden Hazzard, Raghu Machiraju, Same...