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» Enhancements for Local Feature Based Image Classification
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ECCV
2010
Springer
14 years 3 days ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
ICPR
2004
IEEE
14 years 8 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
COLING
2010
13 years 2 months ago
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
Dmitry Davidov, Oren Tsur, Ari Rappoport
TIP
2002
133views more  TIP 2002»
13 years 7 months ago
Wavelet-based rotational invariant roughness features for texture classification and segmentation
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
Dimitrios Charalampidis, Takis Kasparis
ITCC
2005
IEEE
14 years 1 months ago
Fuzzy-based Parameterized Gaussian Edge Detector Using Global and Local Properties
Many edge detection schemes suffer from the lack of image quality at the global level. Global properties are more vital in grayscale images due to loss of hue and texture. This pa...
John See, Madasu Hanmandlu, Shantaram Vasikarla