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JMLR
2010
202views more  JMLR 2010»
15 years 1 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
WWW
2005
ACM
16 years 7 months ago
Extracting semantic structure of web documents using content and visual information
This work aims to provide a page segmentation algorithm which uses both visual and content information to extract the semantic structure of a web page. The visual information is u...
Rupesh R. Mehta, Pabitra Mitra, Harish Karnick
SIGMOD
2001
ACM
145views Database» more  SIGMOD 2001»
16 years 6 months ago
Automatic Segmentation of Text into Structured Records
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuo...
Vinayak R. Borkar, Kaustubh Deshmukh, Sunita Saraw...
ACCV
2009
Springer
16 years 1 months ago
Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities
Abstract. The detection of motion boundaries has been and remains a longstanding challenge in computer vision. In this paper, the recovery of motion boundaries is recast in a broad...
Konstantinos G. Derpanis, Richard P. Wildes
IWPSE
2007
IEEE
16 years 28 days ago
Structural analysis and visualization of C++ code evolution using syntax trees
We present a method to detect and visualize evolution patterns in C++ source code. Our method consists of three steps. First, we extract an annotated syntax tree (AST) from each v...
Fanny Chevalier, David Auber, Alexandru Telea