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» Unsupervised Image Layout Extraction
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WWW
2005
ACM
14 years 9 months ago
Extracting context to improve accuracy for HTML content extraction
Web pages contain clutter (such as ads, unnecessary images and extraneous links) around the body of an article, which distracts a user from actual content. Extraction of "use...
Suhit Gupta, Gail E. Kaiser, Salvatore J. Stolfo
ICIP
2007
IEEE
14 years 2 months ago
Modeling vs. Segmenting Images Using A Probabilistic Approach
Image segmentation is conventionally formulated as a pixellabeling problem, in which “hard” decisions have to be made to partition pixels into regions. As image segmentation i...
Datong Chen
NIPS
2007
13 years 10 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ECAI
2000
Springer
14 years 29 days ago
Action Categorization from Video Sequences
This article presents a framework for extracting relevant qualitative chunks from a video sequence. The notion of qualitative descriptors, used to perform the qualitative extracti...
Jean-Christophe Baillie, Jean-Gabriel Ganascia
ICIP
2001
IEEE
14 years 10 months ago
Similarity measure for CCITT Group 4 compressed document images
Similarity measure of document images acts a crucial role in the area of document image retrieval. A method of measuring the similarity of CCITT Group 4 compressed document images...
Yue Lu, Chew Lim Tan, Liying Fan, Weihua Huang