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» Dimensionality Reduction with Image Data
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CVPR
2003
IEEE
15 years 12 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
ICPR
2008
IEEE
15 years 4 months ago
Dual clustering for categorization of action sequences
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
Joanna Cheng, Liang Wang, Christopher Leckie
ESANN
2003
14 years 11 months ago
Locally Linear Embedding versus Isotop
Abstract. Recently, a new method intended to realize conformal mappings has been published. Called Locally Linear Embedding (LLE), this method can map high-dimensional data lying o...
John Aldo Lee, Cédric Archambeau, Michel Ve...
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
14 years 7 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
DCC
2003
IEEE
15 years 9 months ago
Compression of RADARSAT Data with Block Adaptive Wavelets
: This paper proposes a new algorithm referred to as the Wavelet Packet-based Embedded Block coding (WPEB) scheme for SAR data compression. This algorithm combines the following pr...
Ian G. Cumming, Jing Wang