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ICPR
2008
IEEE
16 years 6 months ago
Incremental machine learning techniques for document layout understanding
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the automatic document processing task with sufficient flexibility. The great variab...
Floriana Esposito, Marenglen Biba, Stefano Ferilli...
ICPR
2006
IEEE
16 years 6 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
CHI
2004
ACM
16 years 5 months ago
Lessons learned using ubiquitous sensors for data collection in real homes
Interface design for the home requires a realistic understanding of the complexity and richness of the human activities that go on there; it is our goal to develop tools that enab...
Jennifer Beaudin, Stephen S. Intille, Emmanuel Mun...
CVPR
2010
IEEE
16 years 1 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
CVPR
2010
IEEE
16 years 1 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...