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NPL
2006
90views more  NPL 2006»
15 years 6 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun
PAMI
2006
127views more  PAMI 2006»
15 years 6 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
155
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PAMI
2006
84views more  PAMI 2006»
15 years 6 months ago
Wavelet Approximation-Based Affine Invariant Shape Representation Functions
In this paper, new wavelet-based affine invariant functions for shape representation are presented. Unlike the previous representation functions, only the approximation coefficient...
Ibrahim El Rube, Maher Ahmed, Mohamed S. Kamel
PAMI
2006
111views more  PAMI 2006»
15 years 6 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin
IEICET
2007
76views more  IEICET 2007»
15 years 6 months ago
Performance Analysis of IEEE 802.11 DCF in a Multi-Rate WLAN
The IEEE 802.11 family of specifications is by far the most prominent and successful technique for accessing WLANs. Because the channel used by wireless devices is a time-varying...
Weikuo Chu, Yu-Chee Tseng