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» Application of Level Set Methods in Computer Vision
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ICCV
2007
IEEE
15 years 10 months ago
ClassMap: Efficient Multiclass Recognition via Embeddings
In many computer vision applications, such as face recognition and hand pose estimation, we need systems that can recognize a very large number of classes. Large margin classifica...
Vassilis Athitsos, Alexandra Stefan, Quan Yuan, St...
ICPR
2008
IEEE
16 years 7 months ago
Using web search engines to improve text recognition
In this paper we introduce a framework for automated text recognition from images. We first describe a simple but efficient text detection and recognition method based on analysis...
Horst Bischof, Michael Donoser, Silke Wagner
159
Voted
ICPR
2002
IEEE
16 years 7 months ago
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
Navid Serrano, Andreas E. Savakis, Jiebo Luo
ICPR
2004
IEEE
16 years 7 months ago
Selecting Canonical Views for View-Based 3-D Object Recognition
Given a collection of sets of 2-D views of 3-D objects and a similarity measure between them, we present a method for summarizing the sets using a small subset called a bounded ca...
Ali Shokoufandeh, Jeff Abrahamson, M. Fatih Demirc...
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
16 years 7 months ago
Warehousing and Analyzing Massive RFID Data Sets
Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected tha...
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Kla...