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ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
13 years 6 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
ICCV
2011
IEEE
12 years 7 months ago
Learning a Category Independent Object Detection Cascade
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...
Esa Rahtu, Juho Kannala, Matthew Blaschko
ICDAR
2003
IEEE
14 years 28 days ago
A Model-based Line Detection Algorithm in Documents
In this paper we present a novel model based approach to detect severely broken parallel lines in noisy textual documents. It is important to detect and remove these lines so the ...
Yefeng Zheng, Huiping Li, David S. Doermann
JFR
2006
140views more  JFR 2006»
13 years 7 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
ICMI
2009
Springer
150views Biometrics» more  ICMI 2009»
14 years 2 months ago
Agreement detection in multiparty conversation
This paper presents a system for the automatic detection of agreements in multi-party conversations. We investigate various types of features that are useful for identifying agree...
Sebastian Germesin, Theresa Wilson