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» Building text features for object image classification
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AVSS
2009
IEEE
13 years 5 months ago
A Classification Architecture Based on Connected Components for Text Detection in Unconstrained Environments
The paper presents a method for efficient text detection in unconstrained environments, based on image features derived from connected components and on a classification architect...
Luca Zini, Augusto Destrero, Francesca Odone
COLING
2008
13 years 9 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
ICASSP
2007
IEEE
14 years 2 months ago
Importance of Feature Locations in Bag-of-Words Image Classification
The impact of image feature locations in the bag-of-words model for object classification is examined. It is demonstrated that a simple variance-based method works well and offer...
Nevena Lazic, Parham Aarabi
IC
2003
13 years 9 months ago
Internet Collaboration Using the W3C Document Object Model
The Internet makes it possible to share information (e.g. text, image, audio, video and other formats of data) across the globe. In this paper we look at collaborative Internet en...
Xiaohong Qiu, Bryan Carpenter, Geoffrey Fox
ICIP
2008
IEEE
14 years 9 months ago
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as cars and houses, are...
Yi Yang, Shawn Newsam