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AAAI
1996
15 years 7 months ago
A Hybrid Learning Approach for Better Recognition of Visual Objects
Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...
Ibrahim F. Imam, Srinivas Gutta
GLOBECOM
2008
IEEE
15 years 7 months ago
Towards the Performance of ML and the Complexity of MMSE - A Hybrid Approach
—In this paper, we present a near ML-achieving sphere search technique that reduces the number of search operations significantly over existing sphere decoding (SD) algorithms. ...
Byonghyo Shim, Jun Won Choi, Insung Kang
CORR
2007
Springer
119views Education» more  CORR 2007»
15 years 6 months ago
Hybrid-ARQ in Multihop Networks with Opportunistic Relay Selection
This paper develops a contention-based opportunistic feedback technique towards relay selection in a dense wireless network. This technique enables the forwarding of additional pa...
Caleb K. Lo, Robert W. Heath Jr., Sriram Vishwanat...
APIN
1999
143views more  APIN 1999»
15 years 6 months ago
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
Real-world electrical engineering problems can take advantage of the last Data Analysis methodologies. In this paper we will show that Genetic Fuzzy Rule-Based Systems and Genetic ...
Oscar Cordón, Francisco Herrera, Luciano S&...
NPL
2002
145views more  NPL 2002»
15 years 6 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu