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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
2008
IEEE
16 years 8 months ago
Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences
The paper addresses the problem of factorization-based 3D reconstruction from uncalibrated image sequences. We propose a quasi-perspective projection model and apply the model to ...
Guanghui Wang, Q. M. Jonathan Wu, Guoqiang Sun
ECCV
2006
Springer
16 years 8 months ago
Robust Visual Tracking for Multiple Targets
We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter technique is adopted and modified to fit into the multi...
Yizheng Cai, Nando de Freitas, James J. Little
ICML
2005
IEEE
16 years 7 months ago
Statistical and computational analysis of locality preserving projection
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Xiaofei He, Deng Cai, Wanli Min
221
Voted
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 7 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi