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NPL
2006
90views more  NPL 2006»
13 years 10 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
ADHOC
2006
116views more  ADHOC 2006»
13 years 10 months ago
Efficient clustering algorithms for self-organizing wireless sensor networks
Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy reso...
Rajesh Krishnan, David Starobinski
ICPR
2004
IEEE
14 years 11 months ago
Enhancements for Local Feature Based Image Classification
Using local features with nearest neighbor search and direct voting obtains excellent results for various image classification tasks. In this work we decompose the method into its...
Daniel Keysers, Hermann Ney, Roberto Paredes, Tobi...
MMM
2009
Springer
137views Multimedia» more  MMM 2009»
14 years 6 months ago
Bit Allocation for Spatio-temporal Wavelet Coding of Animated Semi-regular Meshes
In this paper, we propose a compression scheme for animated semi-regular meshes. This scheme includes a spatio-temporal wavelet filtering to exploit the coherence both in time and...
Aymen Kammoun, Frédéric Payan, Marc ...
IEEECIT
2006
IEEE
14 years 4 months ago
An Efficient LU Decomposition-based Key Pre-distribution Scheme for Ensuring Security in Wireless Sensor Networks
In this paper we propose an improved and efficient key pre-distribution scheme for wireless sensor networks. Our scheme significantly increases the storage efficiency and security...
Al-Sakib Khan Pathan, Tran Thanh Dai, Choong Seon ...