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» Texture Feature Extraction and Classification
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ICML
2008
IEEE
16 years 3 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
118
Voted
HICSS
2008
IEEE
105views Biometrics» more  HICSS 2008»
15 years 9 months ago
Using Visual Features for Fine-Grained Genre Classification of Web Pages
The field of automatic genre classification has primarily focused on extracting textual features from documents. The goal of this research is to investigate whether visual feature...
Ryan Levering, Michal Cutler, Lei Yu
COMPSAC
2005
IEEE
15 years 4 months ago
Similarity Measurement Between Images
Experimental results of applying two similarity measurements, Euclidean distance and chord distance, to test a set of six Brodatz’s textures are reported. Experiments show that ...
Chaur-Chin Chen, Hsueh-Ting Chu
115
Voted
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
15 years 8 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
SPIESR
2001
164views Database» more  SPIESR 2001»
15 years 3 months ago
Content-based image retrieval using wavelet-based salient points
Content-based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Most of the attention from the research has been focused on indexing t...
Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupia...