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CIKM
2008
Springer
15 years 8 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
ICDAR
2009
IEEE
16 years 1 months ago
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
PAMI
2006
111views more  PAMI 2006»
15 years 6 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin
CVPR
2010
IEEE
16 years 2 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
SCIA
2005
Springer
158views Image Analysis» more  SCIA 2005»
15 years 11 months ago
A Graph Representation of Filter Networks
Abstract. Filter networks, i.e. decomposition of a filter set into a layered structure of sparse subfilters has been proven successful for e.g. efficient convolution using finit...
Björn Svensson, Mats T. Andersson, Hans Knuts...