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CVPR
2009
IEEE
16 years 4 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
MICCAI
2009
Springer
15 years 10 months ago
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr...
ICIP
2005
IEEE
15 years 11 months ago
Extracting micro-structural gabor features for face recognition
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
Dian Gong, Qiong Yang, Xiaoou Tang, Jianhua Lu
BMCBI
2010
218views more  BMCBI 2010»
14 years 9 months ago
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets
Background: Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine multiple cores into a single chip to improve...
Michael Scharfe, Rainer Pielot, Falk Schreiber
90
Voted
TIP
2010
97views more  TIP 2010»
14 years 4 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...