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ROBOCUP
2004
Springer
111views Robotics» more  ROBOCUP 2004»
14 years 2 months ago
Realtime Object Recognition Using Decision Tree Learning
Abstract. An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, m...
Dirk Wilking, Thomas Röfer
CVPR
2005
IEEE
14 years 11 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman
ICCV
2011
IEEE
12 years 9 months ago
Actively Selecting Annotations Among Objects and Attributes
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
Adriana Kovashka, Sudheendra Vijayanarasimhan, Kri...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
CVPR
2006
IEEE
14 years 11 months ago
Extracting Subimages of an Unknown Category from a Set of Images
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
Sinisa Todorovic, Narendra Ahuja