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ICIP
2005
IEEE
16 years 8 months ago
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
Guang Dai, Dit-Yan Yeung
ICDAR
2009
IEEE
16 years 1 months ago
The Understanding and Structure Analyzing for Online Handwritten Chemical Formulas
In this paper, we propose a novel approach for understanding and analyzing the online handwritten chemical formulas. With the structural characteristics, semantic rules, and more ...
Xin Wang, Guangshun Shi, Jufeng Yang
WIAMIS
2009
IEEE
16 years 1 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
15 years 11 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
IJDAR
2002
108views more  IJDAR 2002»
15 years 6 months ago
Document understanding for a broad class of documents
We present a document analysis system able to assign logical labels and extract the reading order in a broad set of documents. All information sources, from geometric features and ...
Marco Aiello, Christof Monz, Leon Todoran