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» A Complexity Based Feature to Support Emergence in MAS
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CVPR
2012
IEEE
11 years 11 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
IJCNN
2007
IEEE
14 years 2 months ago
A Neural Network based Audio Content Classification
— The emergence of digital music in the Internet calls for a reliable real-time tool to analyze and properly categorize them for the users. To incorporate content or genre querie...
Vikramjit Mitra, Chia-Jiu Wang
CNSM
2010
13 years 6 months ago
Evaluating impact of manageability features on device performance
Manageability is a key design constraint for IT solutions, defined as the range of operations required to maintain and administer system resources through their lifecycle phases. E...
Jacob Leverich, Vanish Talwar, Parthasarathy Ranga...
QSHINE
2005
IEEE
14 years 2 months ago
Adaptive Low-Complexity Erasure-Correcting Code-Based Protocols for QoS-Driven Mobile Multicast Services
—We propose an adaptive hybrid automatic repeat request–forward error correction (ARQ–FEC) erasure-correcting scheme for quality of service (QoS)-driven mobile multicast serv...
Qinghe Du, Xi Zhang
CLOR
2006
14 years 10 days ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...