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» Object Recognition Using Segmentation for Feature Detection
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96
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ICML
2008
IEEE
16 years 2 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
129
Voted
ICDAR
2011
IEEE
14 years 1 months ago
Discovering Legible Chinese Typefaces for Reading Digital Documents
More and more fonts have sprung up in recent years in digital publishing industry and reading devices. In this paper, we focus on methods of evaluating digital Chinese fonts and t...
Bing Zhang, Ying Li, Ching Y. Suen, Xuemin Zhang
151
Voted
CVPR
2011
IEEE
14 years 10 months ago
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
Andreas Geiger, Martin Lauer, Raquel Urtasun
3DPVT
2006
IEEE
190views Visualization» more  3DPVT 2006»
15 years 8 months ago
3D City Modeling Using Cognitive Loops
3D city modeling using computer vision is very challenging. A typical city contains objects which are a nightmare for some vision algorithms, while other algorithms have been desi...
Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc J...
145
Voted
WSOM
2009
Springer
15 years 6 months ago
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
Mats Sjöberg, Jorma Laaksonen