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» Dynamic Oscillating Search algorithm for feature selection
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IMCSIT
2010
13 years 2 months ago
Multi-level Parallelization with Parallel Computational Services in BeesyCluster
The paper presents a concept, implementation and real examples of dynamic parallelization of computations using services derived from MPI applications deployed in the BeesyCluster ...
Pawel Czarnul
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 1 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
14 years 1 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
PCM
2004
Springer
224views Multimedia» more  PCM 2004»
14 years 1 months ago
Fast and Robust Short Video Clip Search for Copy Detection
Query by video clip (QVC) has attracted wide research interests in multimedia information retrieval. In general, QVC may include feature extraction, similaritymeasure,databaseorgan...
Junsong Yuan, Ling-Yu Duan, Qi Tian, Surendra Rang...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong