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» A Structural Framework for Assembly Modeling and Recognition
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CVPR
2005
IEEE
14 years 9 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super
BMCBI
2008
132views more  BMCBI 2008»
13 years 7 months ago
The Average Mutual Information Profile as a Genomic Signature
Background: Occult organizational structures in DNA sequences may hold the key to understanding functional and evolutionary aspects of the DNA molecule. Such structures can also p...
Mark Bauer, Sheldon M. Schuster, Khalid Sayood
WWW
2010
ACM
14 years 2 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
SSPR
2010
Springer
13 years 5 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
ICIP
2008
IEEE
14 years 9 months ago
Image retrieval and classification using associative reciprocal-image attractors
In this paper, image processing and symbol processing are bridged with a common framework. A new computational architecture allows arbitrary fixed images to be used as attractors ...
Douglas S. Greer, Mihran Tuceryan