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Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images
feature selection image features pattern classification
2015/7/28
We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
Robust Background Modeling via Standard Variance Feature
Robust Background Modeling Standard Variance Feature
2010/6/30
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance
feature is the standard varia...
Locally Assembled Binary (LAB) Feature for Fast and Accurate Face Detection,
Locally Assembled Binary Face Detection
2008/12/31
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the suc...
DRM: Dynamic Region Matching for Image Retrieval Using Probabilistic Fuzzy Matching and Boosting Feature Selection
Dynamic Region Matching Image Retrieval Probabilistic Fuzzy Matching
2008/12/31
This paper considers the semantic gap in content-based image retrieval from two aspects: (1)
irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
Facial Feature Tracking Combining Model-Based And Model-Free Method,
Facial Feature Model-Based Model-Free Method
2003/12/31
In this paper we propose a novel facial feature tracker,which integrates model-free and model-based method to
reliably track dense facial features with complex non-rigid motions in low quality video ...
A System for Human Face and Facial Feature Location.