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» Study of Challenges and Techniques in Large Scale Matching
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ECCV
2010
Springer
14 years 10 months ago
What Does Classifying More Than 10, 000 Image Categories Tell Us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei
89
Voted
ICALP
2009
Springer
15 years 10 months ago
Towards a Study of Low-Complexity Graphs
Abstract. We propose the study of graphs that are defined by lowcomplexity distributed and deterministic agents. We suggest that this viewpoint may help introduce the element of in...
Sanjeev Arora, David Steurer, Avi Wigderson
CVPR
2006
IEEE
16 years 7 days ago
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingl...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
93
Voted
HUC
2010
Springer
14 years 8 months ago
UBI challenge workshop 2010: real world urban computing
This workshop promotes ubiquitous computing research in authentic urban setting, with real users and with sufficient scale and time span. We first motivate why such research is im...
Timo Ojala, Jukka Riekki
CVPR
2008
IEEE
15 years 4 months ago
Action recognition with motion-appearance vocabulary forest
In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
Krystian Mikolajczyk, Hirofumi Uemura