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ICDAR
1999
IEEE
14 years 15 hour ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
ICMCS
2008
IEEE
173views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Automatic video annotation through search and mining
Conventional approaches to video annotation predominantly focus on supervised identification of a limited set of concepts, while unsupervised annotation with infinite vocabulary...
Emily Moxley, Tao Mei, Xian-Sheng Hua, Wei-Ying Ma...
CVPR
2010
IEEE
13 years 11 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
CIKM
2009
Springer
14 years 2 months ago
Mining linguistic cues for query expansion: applications to drug interaction search
Given a drug under development, what are other drugs or biochemical compounds that it might interact with? Early answers to this question, by mining the literature, are valuable f...
Sheng Guo, Naren Ramakrishnan
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 2 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels