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» A comparative study of two object recognition methods
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ECCV
2008
Springer
16 years 6 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
TIP
2008
142views more  TIP 2008»
15 years 4 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
GIS
2002
ACM
15 years 4 months ago
A road network embedding technique for k-nearest neighbor search in moving object databases
A very important class of queries in GIS applications is the class of K-Nearest Neighbor queries. Most of the current studies on the K-Nearest Neighbor queries utilize spatial ind...
Cyrus Shahabi, Mohammad R. Kolahdouzan, Mehdi Shar...
IJVR
2007
128views more  IJVR 2007»
15 years 4 months ago
Occlusion Management in Immersive and Desktop 3D Virtual Environments: Theory and Evaluation
—We present an empirical usability experiment studying the relative strengths and weaknesses of three different occlusion management techniques for discovering and accessing obje...
Niklas Elmqvist, Mihail Eduard Tudoreanu
132
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ICDAR
2003
IEEE
15 years 9 months ago
Binary Classification Trees for Multi-class Classification Problems
This paper proposes a binary classification tree aiming at solving multi-class classification problems using binary classifiers. The tree design is achieved in a way that a class ...
Jin-Seon Lee, Il-Seok Oh