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» Input Modeling Using Quantile Statistical Methods
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ICCV
2009
IEEE
13 years 8 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 10 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
MM
2006
ACM
221views Multimedia» more  MM 2006»
14 years 4 months ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong
ECCV
2010
Springer
14 years 3 months ago
Visual Recognition With Humans in the Loop
We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expert...
ICB
2007
Springer
121views Biometrics» more  ICB 2007»
14 years 2 months ago
SVDD-Based Illumination Compensation for Face Recognition
Illumination change is one of most important and difficult problems which prevent from applying face recognition to real applications. For solving this, we propose a method to comp...
Sang-Woong Lee, Seong-Whan Lee