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» Structured Learning with Approximate Inference
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KESAMSTA
2009
Springer
15 years 6 months ago
Structural Changes in an Email-Based Social Network
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
Krzysztof Juszczyszyn, Katarzyna Musial
COLT
2003
Springer
15 years 6 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
113
Voted
CVPR
2003
IEEE
16 years 3 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
ECCV
2010
Springer
15 years 2 months ago
Texture Regimes for Entropy-Based Multiscale Image Analysis
We present an approach to multiscale image analysis. It hinges on an operative definition of texture that involves a "small region", where some (unknown) statistic is agg...
Sylvain Boltz, Frank Nielsen, Stefano Soatto
ECCV
2002
Springer
16 years 3 months ago
Bayesian Self-Calibration of a Moving Camera
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
Gang Qian, Rama Chellappa