Machine Learning in Computer Vision [electronic resource] / by N. Sebe, Ira Cohen, Ashutosh Garg, Thomas S. Huang.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9781402032752
- 006.6 23
- T385
- TA1637-1638
- TK7882.P3
Contents:
In:
Springer eBooks
Theory: Probabilistic Classifiers -- Theory: Generalization Bounds -- Theory: Semi-Supervised Learning -- Algorithm: Maximum Likelihood Minimum Entropy HMM -- Algorithm: Margin Distribution Optimization -- Algorithm: Learning the Structure of Bayesian Network Classifiers -- Application: Office Activity Recognition -- Application: Multimodal Event Detection -- Application: Facial Expression Recognition -- Application: Bayesian Network Classifiers for Face Detection.
Item type | Current library | Call number | Status | Date due | Barcode | |
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Central Library | Available | E-38411 |
Theory: Probabilistic Classifiers -- Theory: Generalization Bounds -- Theory: Semi-Supervised Learning -- Algorithm: Maximum Likelihood Minimum Entropy HMM -- Algorithm: Margin Distribution Optimization -- Algorithm: Learning the Structure of Bayesian Network Classifiers -- Application: Office Activity Recognition -- Application: Multimodal Event Detection -- Application: Facial Expression Recognition -- Application: Bayesian Network Classifiers for Face Detection.
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