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ICMLC
2005
Springer
14 years 1 months ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun
DAS
2008
Springer
13 years 9 months ago
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing, license plate recognition etc.). In our contribution we pr...
Erik Rodner, Herbert Süße, Wolfgang Ort...
CVPR
2003
IEEE
14 years 9 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
MM
2006
ACM
250views Multimedia» more  MM 2006»
14 years 1 months ago
Effective and efficient object-based image retrieval using visual phrases
In this paper, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects. The visual p...
Qing-Fang Zheng, Wei-Qiang Wang, Wen Gao
CEAS
2007
Springer
13 years 11 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley