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» Learning to Recognize Objects
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EVOW
2010
Springer
15 years 1 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
88
Voted
ICDAR
2003
IEEE
15 years 3 months ago
Engineering Drawings Recognition Using a Case-based Approach
In this paper, we propose a framework for engineering drawings recognition using a case-based approach. The key idea of our scheme is that, interactively, the user provides an exa...
Yan Luo, Liu Wenyin
80
Voted
ICPR
2000
IEEE
15 years 2 months ago
3-D Structures for Generic Object Recognition
We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing object...
Gérard G. Medioni, Alexandre R. J. Fran&cce...
WILF
2007
Springer
108views Fuzzy Logic» more  WILF 2007»
15 years 4 months ago
Recognizing Humor Without Recognizing Meaning
Abstract. We present a machine learning approach for classifying sentences as one-liner jokes or normal sentences. We use no deep analysis of the meaning to try to see if it is hum...
Jonas Sjöbergh, Kenji Araki
75
Voted
DAGM
2004
Springer
15 years 3 months ago
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
Bastian Leibe, Bernt Schiele