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» Hierarchical Hidden Markov Models for Information Extraction
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ICIP
2003
IEEE
15 years 5 months ago
Detection and counting of cars in aerial images
This paper introduces a new approach to automatic car detection in monocular large scale aerial images. The extraction is based on a hierarchical 3D-model that describes the promi...
S. Hinz
OOPSLA
2005
Springer
15 years 5 months ago
Using dependency models to manage complex software architecture
An approach to managing the architecture of large software systems is presented. Dependencies are extracted from the code by a conventional static analysis, and shown in a tabular...
Neeraj Sangal, Ev Jordan, Vineet Sinha, Daniel Jac...
TOIS
2010
128views more  TOIS 2010»
14 years 10 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
ICIP
2006
IEEE
16 years 1 months ago
Automatic Hot Spot Detection and Segmentation in Whole Body FDG-PET Images
We present a system for automatic hot spots detection and segmentation in whole body FDG-PET images. The main contribution of our system is threefold. First, it has a novel body-s...
Haiying Guan, Toshiro Kubota, Xiaolei Huang, Xiang...
ICDAR
2003
IEEE
15 years 5 months ago
On Machine Understanding of Online Handwritten Mathematical Expressions
This paper aims at automatic recognition of online handwritten mathematical expressions written on an electronic tablet. The proposed technique involves two major stages: symbol r...
Utpal Garain, B. B. Chaudhuri