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» Objective reduction using a feature selection technique
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ICRA
2007
IEEE
224views Robotics» more  ICRA 2007»
15 years 4 months ago
Visual Categorization Robust to Large Intra-Class Variations using Entropy-guided Codebook
Abstract— Categorizing visual elements is fundamentally important for autonomous mobile robots to get intelligence such as new object acquisition and topological place classific...
Sungho Kim, In-So Kweon, Chil-Woo Lee
CDC
2008
IEEE
15 years 4 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
NDSS
2008
IEEE
15 years 4 months ago
Taming the Devil: Techniques for Evaluating Anonymized Network Data
Anonymization plays a key role in enabling the public release of network datasets, and yet there are few, if any, techniques for evaluating the efficacy of network data anonymiza...
Scott E. Coull, Charles V. Wright, Angelos D. Kero...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
VTC
2010
IEEE
116views Communications» more  VTC 2010»
14 years 8 months ago
Downlink Transmission in Multi-Carrier Systems with Reduced Feedback
— in this paper we address the problem of reducing the feedback for the downlink transmission in multi-carrier systems. In these systems multiple Component Carriers (CCs) are agg...
Yuanye Wang, Klaus I. Pedersen, Troels B. Sø...